Triple

T13163891
Position Surface form Disambiguated ID Type / Status
Subject Yuetang District E312795 entity
Predicate subdivisionName P747 FINISHED
Object Yuetang District E312795 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: Yuetang District | Statement: [Yuetang District, subdivisionName, Yuetang District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yuetang District
Context triple: [Yuetang District, subdivisionName, Yuetang District]
  • A. Yuetang District chosen
    Yuetang District is an urban administrative district of Xiangtan City in Hunan Province, China, known as one of its central built-up areas.
  • B. Tongguan District
    Tongguan District is an urban administrative district within Tongling City in Anhui Province, eastern China, known for its role in the region’s industrial and economic activities.
  • C. Yicheng District
    Yicheng District is an urban administrative district under the jurisdiction of Zaozhuang City in Shandong Province, eastern China.
  • D. Shuangxi District
    Shuangxi District is a rural, mountainous district in eastern New Taipei City, Taiwan, known for its rivers, old streets, and natural scenery.
  • E. Fengnan District
    Fengnan District is an administrative district under the jurisdiction of the prefecture-level city of Tangshan in Hebei Province, China.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d806ac3ee081909b2fd27d060aa974 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c0bf5a48190bf245dceee24b579 completed April 10, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7c6f5c0d88190b51cd65f6b7f8e6d completed May 3, 2026, 10:06 p.m.
Created at: April 9, 2026, 9:13 p.m.