Triple

T21943659
Position Surface form Disambiguated ID Type / Status
Subject National Academy of Arts E541882 entity
Predicate locatedIn P40 FINISHED
Object Banqiao District NE NERFINISHED

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: Banqiao District | Statement: [National Academy of Arts, locatedIn, Banqiao District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Banqiao District
Context triple: [National Academy of Arts, locatedIn, Banqiao District]
  • A. Banqiao District chosen
    Banqiao District is a major urban and commercial hub in northern Taiwan that serves as the administrative and transportation center of New Taipei City.
  • B. Yinhai District
    Yinhai District is an urban district of Beihai City in Guangxi, China, known for its coastal location and role in the city's economic and administrative activities.
  • C. Taiping District
    Taiping District is an urban district of Taichung City in central Taiwan, known for its residential communities and proximity to Taichung’s metropolitan core.
  • D. Taiping District
    Taiping District is an urban administrative district of the city of Fuxin in Liaoning Province, northeastern China.
  • E. Tucheng District
    Tucheng District is an urban district in southwestern New Taipei City, Taiwan, known for its residential neighborhoods, industrial areas, and transportation links including metro and highway access.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c47e2e5c81909a7f74ce3de50911 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f1242515ec8190b015bf8c7b13be85 completed April 28, 2026, 9:18 p.m.
Created at: April 16, 2026, 7:56 p.m.