Triple

T6810317
Position Surface form Disambiguated ID Type / Status
Subject Enrekang language E156612 entity
Predicate alternateName P39 FINISHED
Object Enrekang E318744 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: Enrekang | Statement: [Enrekang language, alternateName, Enrekang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Enrekang
Context triple: [Enrekang language, alternateName, Enrekang]
  • A. Enrekang Regency chosen
    Enrekang Regency is an inland administrative region of Indonesia located in the mountainous central part of South Sulawesi Province.
  • B. Dompu
    Dompu is a town and regency capital on the island of Sumbawa in Indonesia’s West Nusa Tenggara province.
  • C. Luwu Regency
    Luwu Regency is an administrative region in South Sulawesi, Indonesia, known for its coastal and mountainous landscapes and its role as part of the historical Luwu Kingdom area.
  • D. Barru Regency
    Barru Regency is an administrative region on the western coast of South Sulawesi, Indonesia, known for its coastal landscapes and role as a transit area between major cities on the island.
  • 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_69c68828b26c819090fe9df7612bbc27 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d30ded6481908fd64611607c610e completed March 27, 2026, 6:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69c71aa7dc3c81909ef422b5c51ae6be completed March 28, 2026, 12:02 a.m.
Created at: March 27, 2026, 2:16 p.m.