Triple

T2925606
Position Surface form Disambiguated ID Type / Status
Subject North Sulawesi E78835 entity
Predicate locatedIn 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: [North Sulawesi, locatedIn, Sulawesi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sulawesi
Context triple: [North Sulawesi, locatedIn, 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_69ad8b0d40b481908bc2a5fa2e73c3fb completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad97c086888190ba51ce659a6c4f50 completed March 8, 2026, 3:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69b0fc632afc819098021312c748346b completed March 11, 2026, 5:23 a.m.
Created at: March 8, 2026, 2:55 p.m.