Triple

T15642951
Position Surface form Disambiguated ID Type / Status
Subject New Taipei City Government E376110 entity
Predicate hasAdministrativeTerritorialEntity P40 FINISHED
Object Pinglin District E444117 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: Pinglin District | Statement: [New Taipei City Government, hasAdministrativeTerritorialEntity, Pinglin District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pinglin District
Context triple: [New Taipei City Government, hasAdministrativeTerritorialEntity, Pinglin District]
  • A. Pinglin District chosen
    Pinglin District is a rural, mountainous area in southeastern New Taipei City, Taiwan, best known for its tea production and scenic natural landscapes.
  • B. Tiedong District
    Tiedong District is an urban administrative district of Anshan City in Liaoning Province, northeastern China.
  • C. Longyang District
    Longyang District is the central urban district and administrative seat of Baoshan City in Yunnan Province, China.
  • D. Bagongshan District
    Bagongshan District is an urban administrative district of Huainan City in Anhui Province, China, known for its coal resources and industrial development.
  • E. Beimen District
    Beimen District is a coastal district in Tainan, Taiwan, known for its historic salt fields, wetlands, and traditional temples.
  • 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_69d85cd035a48190b73d5579ab73969a completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04ed23d688190bea996f90989d406 completed April 16, 2026, 2:52 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00456b590c8190949fd23cb5cec1e8 completed May 10, 2026, 8:44 a.m.
Created at: April 10, 2026, 4:15 a.m.