Triple

T1943587
Position Surface form Disambiguated ID Type / Status
Subject Xianning E42010 entity
Predicate hasAdministrativeDivision P747 FINISHED
Object Xian'an District E269761 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: Xian'an District | Statement: [Xianning, hasAdministrativeDivision, Xian'an District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Xian'an District
Context triple: [Xianning, hasAdministrativeDivision, Xian'an District]
  • A. Xian'an District chosen
    Xian'an District is an urban administrative district in Hubei Province, China, serving as the central district and governmental seat of the prefecture-level city of Xianning.
  • B. Jianye District
    Jianye District is an urban district of Nanjing, China, known for its historical significance and major memorial sites related to the Nanjing Massacre.
  • C. Xialu District
    Xialu District is an urban administrative district of the prefecture-level city of Huangshi in Hubei Province, China.
  • D. Xiaoting District
    Xiaoting District is an urban administrative district of Yichang in Hubei Province, China, known for its location along the Yangtze River and its role in the region’s industrial and transportation network.
  • E. Xicheng District
    Xicheng District is a central urban district of Beijing, China, known for its historic sites, government institutions, and cultural landmarks.
  • 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_69a8870e08fc8190a319cbf2600db15f completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb2fe04688190aa8461ba090c93a0 completed March 7, 2026, 5:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69af2b526edc8190b4958f63268c6e97 completed March 9, 2026, 8:19 p.m.
Created at: March 4, 2026, 7:36 p.m.