Triple

T10795396
Position Surface form Disambiguated ID Type / Status
Subject Qibao Station E254690 entity
Predicate district P2709 FINISHED
Object Minhang District E44846 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: Minhang District | Statement: [Qibao Station, district, Minhang District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Minhang District
Context triple: [Qibao Station, district, Minhang District]
  • A. Minhang District chosen
    Minhang District is a major suburban district in southwestern Shanghai, China, known for its residential communities, industrial zones, and several universities.
  • B. Jinshan District
    Jinshan District is a suburban coastal district in southwestern Shanghai, known for its petrochemical industry, beaches, and growing residential communities.
  • C. 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.
  • 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. Zhuhui District
    Zhuhui District is an urban administrative district of Hengyang City in Hunan Province, China, known for its commercial activity and transportation links.
  • 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_69d6aa61c15c8190a1839550c56e75e1 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d733321dd881909dcd4224dfa9822a completed April 9, 2026, 5:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69f6554d0b0081909cc031ff06b796c0 completed May 2, 2026, 7:49 p.m.
Created at: April 8, 2026, 9:17 p.m.