Triple

T10637839
Position Surface form Disambiguated ID Type / Status
Subject Fengjing Ancient Town E250639 entity
Predicate locatedIn P40 FINISHED
Object Jinshan District E50156 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: Jinshan District | Statement: [Fengjing Ancient Town, locatedIn, Jinshan District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jinshan District
Context triple: [Fengjing Ancient Town, locatedIn, Jinshan District]
  • A. Jinshan District chosen
    Jinshan District is a suburban coastal district in southwestern Shanghai, known for its petrochemical industry, beaches, and growing residential communities.
  • B. Jinshan District
    Jinshan District is a coastal suburban district in northern Taiwan known for its hot springs, scenic shoreline, and location within New Taipei City.
  • C. Jiading District
    Jiading District is a suburban district in the northwestern part of Shanghai, China, known for its historic old town, automotive industry hub, and educational institutions.
  • D. Songjiang District
    Songjiang District is a suburban district of Shanghai, China, known as one of the city's historical and cultural centers and a rapidly developing residential and educational hub.
  • E. Xinhui District
    Xinhui District is an urban district of Jiangmen in Guangdong Province, China, known historically as a key overseas Chinese hometown and for its citrus production.
  • 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_69d6aa5993448190a493b790b8f85010 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6dfae51148190840a4e52b29ad06e completed April 8, 2026, 11:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7c0cf61108190a15ab76454fc0d75 completed May 3, 2026, 9:40 p.m.
Created at: April 8, 2026, 9:04 p.m.