Triple

T28800723
Position Surface form Disambiguated ID Type / Status
Subject Changji Hui Autonomous Prefecture E727223 entity
Predicate contains P35 FINISHED
Object Qitai County
Qitai County is an administrative county in Xinjiang, China, known for its location within the Changji Hui Autonomous Prefecture and its role as a regional agricultural and transportation hub.
E1939749 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: Qitai County | Statement: [Changji Hui Autonomous Prefecture, contains, Qitai County]
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: Qitai County
Triple: [Changji Hui Autonomous Prefecture, contains, Qitai County]
Generated description
Qitai County is an administrative county in Xinjiang, China, known for its location within the Changji Hui Autonomous Prefecture and its role as a regional agricultural and transportation hub.

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_69f0319b7c44819085736bcc256185e6 completed April 28, 2026, 4:03 a.m.
NER Named-entity recognition batch_69f658aa9fa88190818544cbf3049619 completed May 2, 2026, 8:03 p.m.
NED1 Entity disambiguation (via context triple) batch_6a28fb869a108190bed5a67e503222a3 completed June 10, 2026, 5:52 a.m.
NEDg Description generation batch_6a28fd8eeec88190967745b3d877c786 completed June 10, 2026, 6 a.m.
NED2 Entity disambiguation (via description) batch_6a28fe2639308190a88b24ca38978e50 completed June 10, 2026, 6:03 a.m.
Created at: April 28, 2026, 6:27 a.m.