Triple

T14289199
Position Surface form Disambiguated ID Type / Status
Subject Jianghan Road E354263 entity
Predicate locatedIn P40 FINISHED
Object Jianghan District E70518 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: Jianghan District | Statement: [Jianghan Road, locatedIn, Jianghan District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jianghan District
Context triple: [Jianghan Road, locatedIn, Jianghan District]
  • A. Jianghan District chosen
    Jianghan District is a central urban district of Wuhan, Hubei Province, known for its commercial hubs and historical and cultural sites.
  • B. Jiangxia District
    Jiangxia District is a suburban administrative district in the southeastern part of Wuhan, China, known for its rapid urban development and integration into the city’s metro network.
  • C. Wuchang District
    Wuchang District is a central urban district of Wuhan, China, known for its historical significance, educational institutions, and location along the Yangtze River.
  • D. Huangpi District
    Huangpi District is a suburban district in the northern part of Wuhan, China, known for its mix of rural landscapes, historical sites, and growing urban development.
  • E. Qianjiang District
    Qianjiang District is an administrative district in southeastern Chongqing, China, known for its mountainous terrain and role as a regional transport and economic hub.
  • 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_69d8278e17088190b328c5a9d4be74ff completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de698023288190b1d705235c2b2ca3 completed April 14, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd3d1e14d4819091c381f96c43c58b completed May 8, 2026, 1:32 a.m.
Created at: April 10, 2026, 1:11 a.m.