Triple

T14579183
Position Surface form Disambiguated ID Type / Status
Subject North Mamuju Regency E342140 entity
Predicate hasAdministrativeCenter P1474 FINISHED
Object Pasangkayu E1105901 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: Pasangkayu | Statement: [North Mamuju Regency, hasAdministrativeCenter, Pasangkayu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pasangkayu
Context triple: [North Mamuju Regency, hasAdministrativeCenter, Pasangkayu]
  • A. Pasangkayu chosen
    Pasangkayu is a town in West Sulawesi, Indonesia, serving as an administrative and economic center for the surrounding region.
  • B. Dompu
    Dompu is a town and regency capital on the island of Sumbawa in Indonesia’s West Nusa Tenggara province.
  • C. Sidrap Regency
    Sidrap Regency is an administrative region in South Sulawesi, Indonesia, known for its agricultural activities and location in the island’s central area.
  • D. Bangkalan
    Bangkalan is a major urban center and regency on the western part of Madura Island in Indonesia, serving as an important gateway between Madura and Java.
  • E. Sinjai Regency
    Sinjai Regency is an administrative region in Indonesia known for its coastal landscapes, agricultural activities, and cultural diversity within the province of South Sulawesi.
  • 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_69d822dcc6248190bed689984bceb0e2 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb3f6f78c81908a30ecb4c025299d completed April 14, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69fda91437e08190a41683f1777a8507 completed May 8, 2026, 9:12 a.m.
Created at: April 10, 2026, 1:24 a.m.