Triple

T21042758
Position Surface form Disambiguated ID Type / Status
Subject Watampone E518366 entity
Predicate isMainUrbanCenterOf P12871 FINISHED
Object Bone Regency 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: Bone Regency | Statement: [Watampone, isMainUrbanCenterOf, Bone Regency]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bone Regency
Context triple: [Watampone, isMainUrbanCenterOf, Bone Regency]
  • A. Bone Regency chosen
    Bone Regency is an administrative region in South Sulawesi, Indonesia, historically significant as a core homeland of the Bugis people.
  • B. Regals
    Regals is the team name and mascot identity for the women's athletic programs at California Lutheran University.
  • C. Royale
    Royale is a higher-end luxury trim level of the Oldsmobile Delta 88 full-size sedan, featuring upgraded comfort and styling options.
  • D. Sikka Regency
    Sikka Regency is an administrative region on the island of Flores in East Nusa Tenggara, Indonesia, known for its coastal landscapes and traditional Sikka culture.
  • E. Crown
    Crown is a prominent American business family name associated with influential industrialist and investor Lester Crown.
  • 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_69e0b50438e08190917e2538bb8bc034 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fcf0b27881909d1c5b58be387a74 completed April 21, 2026, 4:28 a.m.
Created at: April 16, 2026, 2:15 p.m.