Triple

T18063310

Position	Surface form	Disambiguated ID	Type / Status
Subject	Shenzhen Planning and Natural Resources Bureau	`E432231`	entity
Predicate	collaboratesWith	`P37`	FINISHED
Object	Shenzhen Ecology and Environment Bureau The Shenzhen Ecology and Environment Bureau is a municipal government agency responsible for formulating and enforcing environmental protection policies, monitoring ecological conditions, and promoting sustainable development in Shenzhen, China.	`E1304668`	NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini

Instruction

Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).

Input

Phrase: Shenzhen Ecology and Environment Bureau | Statement: [Shenzhen Planning and Natural Resources Bureau, collaboratesWith, Shenzhen Ecology and Environment Bureau]

NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07

Target entity: Shenzhen Ecology and Environment Bureau
Context triple: [Shenzhen Planning and Natural Resources Bureau, collaboratesWith, Shenzhen Ecology and Environment Bureau]

A. Shenzhen Planning and Natural Resources Bureau
The Shenzhen Planning and Natural Resources Bureau is a municipal government agency responsible for urban planning, land use management, and natural resource administration in Shenzhen, China.
B. Guangzhou Municipal Ecology and Environment Bureau
The Guangzhou Municipal Ecology and Environment Bureau is the city-level government agency responsible for formulating and enforcing environmental protection and ecological conservation policies in Guangzhou, China.
C. Guangdong Provincial Department of Ecology and Environment
The Guangdong Provincial Department of Ecology and Environment is the provincial government agency responsible for formulating and enforcing environmental protection and ecological conservation policies in Guangdong, China.
D. Shenzhen Municipal People’s Government
The Shenzhen Municipal People’s Government is the executive authority responsible for administering and managing public affairs, economic development, and urban governance in the city of Shenzhen, China.
E. Shenzhen Housing and Construction Bureau
The Shenzhen Housing and Construction Bureau is a municipal government department responsible for overseeing urban housing policy, real estate regulation, and construction management in Shenzhen, China.
F. None of above. chosen
G. Unsure - the case is ambiguous/there is not enough information to decide.

NEDg Description generation gpt-5.1

Instruction

Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"

Input

Entity: Shenzhen Ecology and Environment Bureau
Triple: [Shenzhen Planning and Natural Resources Bureau, collaboratesWith, Shenzhen Ecology and Environment Bureau]

Generated description

The Shenzhen Ecology and Environment Bureau is a municipal government agency responsible for formulating and enforcing environmental protection policies, monitoring ecological conditions, and promoting sustainable development in Shenzhen, China.

NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07

Target entity: Shenzhen Ecology and Environment Bureau
Target entity description: The Shenzhen Ecology and Environment Bureau is a municipal government agency responsible for formulating and enforcing environmental protection policies, monitoring ecological conditions, and promoting sustainable development in Shenzhen, China.

A. Shenzhen Planning and Natural Resources Bureau
The Shenzhen Planning and Natural Resources Bureau is a municipal government agency responsible for urban planning, land use management, and natural resource administration in Shenzhen, China.
B. Guangzhou Municipal Ecology and Environment Bureau
The Guangzhou Municipal Ecology and Environment Bureau is the city-level government agency responsible for formulating and enforcing environmental protection and ecological conservation policies in Guangzhou, China.
C. Guangdong Provincial Department of Ecology and Environment
The Guangdong Provincial Department of Ecology and Environment is the provincial government agency responsible for formulating and enforcing environmental protection and ecological conservation policies in Guangdong, China.
D. Shenzhen Municipal People’s Government
The Shenzhen Municipal People’s Government is the executive authority responsible for administering and managing public affairs, economic development, and urban governance in the city of Shenzhen, China.
E. Shenzhen Housing and Construction Bureau
The Shenzhen Housing and Construction Bureau is a municipal government department responsible for overseeing urban housing policy, real estate regulation, and construction management in Shenzhen, China.
F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step	Stage	Batch ID	Status	When
creating	Elicitation	`batch_69d8b9070cac81909fa9473fb1c3f1c7`	completed	April 10, 2026, 8:47 a.m.
NER	Named-entity recognition	`batch_69e4cce5d2188190ba77d06061d6e77a`	completed	April 19, 2026, 12:39 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a035d86480c81909d17d3b693b98a9e`	completed	May 12, 2026, 5:04 p.m.
NEDg	Description generation	`batch_6a035f676fe48190a32663b6f575fd8e`	completed	May 12, 2026, 5:12 p.m.
NED2	Entity disambiguation (via description)	`batch_6a03601fc3508190809a1501bd075074`	completed	May 12, 2026, 5:15 p.m.

Created at: April 10, 2026, 10:26 a.m.