Triple

T13014854
Position Surface form Disambiguated ID Type / Status
Subject Quanshan District E322522 entity
Predicate borderingEntity P224 FINISHED
Object Gulou District E318448 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: Gulou District | Statement: [Quanshan District, borderingEntity, Gulou District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gulou District
Context triple: [Quanshan District, borderingEntity, Gulou District]
  • A. Gulou District chosen
    Gulou District is a central urban district of Xuzhou in Jiangsu Province, China, known for its administrative, commercial, and historical significance within the city.
  • B. Gulou District
    Gulou District is a central urban district of Fuzhou, the capital city of Fujian Province in southeastern China, known for its administrative, commercial, and historical significance.
  • C. Xuanwu District
    Xuanwu District is a central district of Nanjing, China, known for its historical and cultural landmarks and scenic parks.
  • D. Jiang'an District
    Jiang'an District is an urban district of Wuhan in Hubei Province, China, known for its central location and role as a key commercial and residential area of the city.
  • E. Zhonglou District
    Zhonglou District is an urban administrative district of Changzhou in Jiangsu Province, China, known for its commercial centers and dense residential areas.
  • 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_69d807657e8c8190bd9435ee2f823845 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97ecd04748190ade2530ee5db35fe completed April 10, 2026, 10:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75469a3f08190a7e417872147b455 completed May 3, 2026, 1:58 p.m.
Created at: April 9, 2026, 8:50 p.m.