Triple

T7636070
Position Surface form Disambiguated ID Type / Status
Subject Jianye District E172880 entity
Predicate borderedBy 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: [Jianye District, borderedBy, Gulou District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gulou District
Context triple: [Jianye District, borderedBy, 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_69c69952849881908fdcea7a93bfc307 completed March 27, 2026, 2:50 p.m.
NER Named-entity recognition batch_69c6faa95e488190962c23609e0890a5 completed March 27, 2026, 9:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69c98f54f0908190afec4f26e96d8173 completed March 29, 2026, 8:45 p.m.
Created at: March 27, 2026, 3:57 p.m.