Triple

T5687594
Position Surface form Disambiguated ID Type / Status
Subject Lontara script E125349 entity
Predicate region P40 FINISHED
Object Sulawesi E15903 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: Sulawesi | Statement: [Lontara script, region, Sulawesi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sulawesi
Context triple: [Lontara script, region, Sulawesi]
  • A. Sulawesi region
    The Sulawesi region is a large, mountainous island area in central Indonesia known for its distinctive peninsular shape, rich marine and terrestrial biodiversity, and cultural and linguistic diversity.
  • B. North Sulawesi
    North Sulawesi is a province in the northern part of Indonesia’s Sulawesi Island, known for its rich marine biodiversity, volcanic landscapes, and diverse cultures.
  • C. Celebes chosen
    Celebes, now known as Sulawesi, is a large, uniquely shaped island in Indonesia renowned for its diverse cultures, mountainous landscapes, and rich marine biodiversity.
  • D. Sumatra
    Sumatra is a large Indonesian island in western Indonesia known for its rich biodiversity, active volcanoes, and significant role in regional trade and history.
  • E. Riau Islands
    The Riau Islands are an Indonesian archipelago in the South China Sea known for their strategic location near Singapore and Malaysia, maritime trade routes, and growing tourism industry.
  • 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_69c0082a884c8190a79001bae658941f completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c023be18a081908c72fb5b0e1852f9 completed March 22, 2026, 5:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0b0a7aff08190bca93ac0ab8a9be0 completed March 23, 2026, 3:16 a.m.
Created at: March 22, 2026, 3:44 p.m.