Triple

T11855535
Position Surface form Disambiguated ID Type / Status
Subject Gucun Park E282026 entity
Predicate locatedIn P40 FINISHED
Object Gucun Town E282026 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: Gucun Town | Statement: [Gucun Park, locatedIn, Gucun Town]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gucun Town
Context triple: [Gucun Park, locatedIn, Gucun Town]
  • A. Gucun Town chosen
    Gucun Town is a suburban township in Shanghai, China, known for its large Gucun Park and residential communities within Baoshan District.
  • B. Guling Town
    Guling Town is a historic resort and tourist town located on Lushan Mountain in Jiangxi Province, China, known for its scenic beauty and colonial-era architecture.
  • C. Gaotangling town
    Gaotangling town is an urban township that serves as the main commercial and administrative center of Wangcheng County in Hunan Province, China.
  • D. Luodian Town
    Luodian Town is a suburban town in Shanghai, China, known for its residential communities and local commerce within Baoshan District.
  • E. Cai Lay Town
    Cai Lậy Town is an urban administrative center in Vietnam’s Mekong Delta, known for its role as a local hub of trade, services, and transportation within Tiền Giang Province.
  • 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_69d6ab287ba48190a5178779fd19b9b7 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a697f4108190af984932d2118472 completed April 10, 2026, 7:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69f167d9b9e8819093582637941fc5ca completed April 29, 2026, 2:07 a.m.
Created at: April 8, 2026, 9:43 p.m.