Triple

T34551931
Position Surface form Disambiguated ID Type / Status
Subject Dong Anh District E887091 entity
Predicate hasIndustrialArea P40 FINISHED
Object Dong Anh Industrial Cluster
Dong Anh Industrial Cluster is a concentrated manufacturing and industrial zone in Hanoi’s Dong Anh District that hosts various factories and production facilities supporting regional economic development.
E2103243 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: Dong Anh Industrial Cluster | Statement: [Dong Anh District, hasIndustrialArea, Dong Anh Industrial Cluster]
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: Dong Anh Industrial Cluster
Triple: [Dong Anh District, hasIndustrialArea, Dong Anh Industrial Cluster]
Generated description
Dong Anh Industrial Cluster is a concentrated manufacturing and industrial zone in Hanoi’s Dong Anh District that hosts various factories and production facilities supporting regional economic development.

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_69f349cff89081908f91e0b064f4833e completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f72028d93881909548ade51193e552 completed May 3, 2026, 10:15 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3740fed50481909be66e1dec583f01 completed June 21, 2026, 1:40 a.m.
NEDg Description generation batch_6a3741751e948190afd089c1d0aff1fe completed June 21, 2026, 1:42 a.m.
NED2 Entity disambiguation (via description) batch_6a3741f66d88819081e0566ae6ded487 completed June 21, 2026, 1:44 a.m.
Created at: May 1, 2026, 2:02 a.m.