Triple

T6317713
Position Surface form Disambiguated ID Type / Status
Subject Makassarese people E141655 entity
Predicate traditionalRegion P1968 FINISHED
Object Gowa E311456 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: Gowa | Statement: [Makassarese people, traditionalRegion, Gowa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gowa
Context triple: [Makassarese people, traditionalRegion, Gowa]
  • A. Gowa Regency chosen
    Gowa Regency is an administrative region in Indonesia known for its historical role as the center of the former Gowa Sultanate and its proximity to the provincial capital, Makassar, in South Sulawesi.
  • B. Bantaeng Regency
    Bantaeng Regency is an administrative region on the southern coast of Sulawesi, Indonesia, known for its agricultural economy and growing tourism sector.
  • C. Parepare
    Parepare is a coastal city and important port on the western coast of South Sulawesi, Indonesia.
  • D. Payakumbuh
    Payakumbuh is a city in West Sumatra, Indonesia, known as an important hub of Minangkabau culture, cuisine, and traditional arts.
  • E. Palopo
    Palopo is a coastal city in Indonesia known as an important regional center in 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_69c008d13b8c8190be47d896eb735605 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c064c25530819080b29e0029175c00 completed March 22, 2026, 9:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69c5e47ecea08190828af72d30d69a8c completed March 27, 2026, 1:59 a.m.
Created at: March 22, 2026, 4:29 p.m.