Triple

T35109214
Position Surface form Disambiguated ID Type / Status
Subject 云龙区 E1013238 entity
Predicate role P268 FINISHED
Object 文化教育中心区
文化教育中心区是以文化设施和教育资源高度集聚为主要特征的城市功能片区。
 E2125148 NE FINISHED

How this triple was built (2 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: 文化教育中心区 | Statement: [云龙区, role, 文化教育中心区]
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: 文化教育中心区
Triple: [云龙区, role, 文化教育中心区]
Generated description
文化教育中心区是以文化设施和教育资源高度集聚为主要特征的城市功能片区。

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_69f76dd659d08190bcdc00d37caafb62 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f78c15b73c8190ba65eba632d13108 completed May 3, 2026, 5:55 p.m.
NED1 Entity disambiguation (via context triple) batch_6a37cffac58481909a973bf9513a4011 completed June 21, 2026, 11:50 a.m.
NEDg Description generation batch_6a37d0a8cc748190989640faa3a1c600 completed June 21, 2026, 11:53 a.m.
NED2 Entity disambiguation (via description) batch_6a37d14269d8819096db1bd0f62ed272 completed June 21, 2026, 11:55 a.m.
Created at: May 3, 2026, 4:01 p.m.