Triple

T7636069
Position Surface form Disambiguated ID Type / Status
Subject Jianye District E172880 entity
Predicate borderedBy P224 FINISHED
Object Jiangning District E678056 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: Jiangning District | Statement: [Jianye District, borderedBy, Jiangning District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jiangning District
Context triple: [Jianye District, borderedBy, Jiangning District]
  • A. Jiangning District chosen
    Jiangning District is an administrative district in the southern part of Nanjing, China, known for its rapid urban development and role as a key transportation and industrial hub of the city.
  • B. Wujin District
    Wujin District is a major urban district of Changzhou in Jiangsu Province, China, known for its rapid economic development and blend of industrial and residential areas.
  • C. Xinwu District
    Xinwu District is an urban district of Wuxi in Jiangsu Province, China, known for its industrial development and modern infrastructure.
  • D. Gulou District, Nanjing
    Gulou District, Nanjing is a central urban district of Nanjing, China, known for its historical sites, educational institutions, and administrative importance.
  • E. 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.
  • 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_69c89ac251308190a09814cc469d80fd completed March 29, 2026, 3:21 a.m.
Created at: March 27, 2026, 3:57 p.m.