Triple

T29935574
Position Surface form Disambiguated ID Type / Status
Subject Wusheng County E760349 entity
Predicate hasGoverningBody P760 FINISHED
Object Wusheng County People’s Government
Wusheng County People’s Government is the primary local administrative authority responsible for governing and managing public affairs in Wusheng County, China.
E1892872 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: Wusheng County People’s Government | Statement: [Wusheng County, hasGoverningBody, Wusheng County People’s Government]
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: Wusheng County People’s Government
Triple: [Wusheng County, hasGoverningBody, Wusheng County People’s Government]
Generated description
Wusheng County People’s Government is the primary local administrative authority responsible for governing and managing public affairs in Wusheng County, China.

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_69f22463f3648190a603c3ff305c660b completed April 29, 2026, 3:31 p.m.
NER Named-entity recognition batch_69f677d413c081908203059402081897 completed May 2, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a271425c5348190b479c290be4bd387 completed June 8, 2026, 7:12 p.m.
NEDg Description generation batch_6a2714fad8188190bf86af12ee777b53 completed June 8, 2026, 7:16 p.m.
NED2 Entity disambiguation (via description) batch_6a27198a097c8190aea66eba80acc1d8 completed June 8, 2026, 7:35 p.m.
Created at: April 29, 2026, 6:20 p.m.