Triple

T15642259
Position Surface form Disambiguated ID Type / Status
Subject Bali District E376096 entity
Predicate borders P224 FINISHED
Object Taishan 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: Taishan District | Statement: [Bali District, borders, Taishan District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Taishan District
Context triple: [Bali District, borders, Taishan District]
  • A. Taishan District
    Taishan District is an urban district of New Taipei City in northern Taiwan, known for its residential communities and educational institutions.
  • B. Taishan District chosen
    Taishan District is an urban administrative district within Tai'an City in Shandong Province, China, known for its proximity to the culturally significant Mount Tai.
  • C. Quanshan District
    Quanshan District is an urban administrative district of Xuzhou in Jiangsu Province, China, known as one of the city’s central built-up areas.
  • D. Shizhong District
    Shizhong District is an urban administrative district that serves as the central area of Zaozhuang City in Shandong Province, China.
  • E. Tieshangang District
    Tieshangang District is an administrative district of the coastal city of Beihai in Guangxi, China, known for its port and industrial activities.
  • 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_69d85cd035a48190b73d5579ab73969a completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04ed23d688190bea996f90989d406 completed April 16, 2026, 2:52 a.m.
Created at: April 10, 2026, 4:15 a.m.