Triple

T38616674
Position Surface form Disambiguated ID Type / Status
Subject Xunwu County E936742 entity
Predicate governingBody P46 FINISHED
Object Xunwu County People's Government
Xunwu County People's Government is the primary local administrative authority responsible for governance, public services, and policy implementation in Xunwu County, China.
E2277817 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: Xunwu County People's Government | Statement: [Xunwu County, governingBody, Xunwu 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: Xunwu County People's Government
Triple: [Xunwu County, governingBody, Xunwu County People's Government]
Generated description
Xunwu County People's Government is the primary local administrative authority responsible for governance, public services, and policy implementation in Xunwu 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_69f76ed403208190b862dc795171353f completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fcd9768afc8190954d61c62e764fa0 completed May 7, 2026, 6:27 p.m.
NED1 Entity disambiguation (via context triple) batch_6a41f447353481908292d76c8bf88b76 completed June 29, 2026, 4:27 a.m.
NEDg Description generation batch_6a41f582da6081909e324be0d1abc76e completed June 29, 2026, 4:33 a.m.
NED2 Entity disambiguation (via description) batch_6a41f623a0b481909e9fe64ea06c7a40 completed June 29, 2026, 4:35 a.m.
Created at: May 3, 2026, 4:32 p.m.