Triple

T629963
Position Surface form Disambiguated ID Type / Status
Subject Celebes E15903 entity
Predicate hasCity P316 FINISHED
Object Gorontalo E80838 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: Gorontalo | Statement: [Celebes, hasCity, Gorontalo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gorontalo
Context triple: [Celebes, hasCity, Gorontalo]
  • A. Gorontalo chosen
    Gorontalo is a province on the northern coast of Sulawesi (Celebes) in Indonesia, known for its rich cultural heritage and coastal landscapes.
  • 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. Central Sulawesi
    Central Sulawesi is a province of Indonesia located in the central part of the island of Sulawesi, known for its diverse cultures, mountainous landscapes, and rich biodiversity.
  • D. South Sulawesi
    South Sulawesi is a province of Indonesia on the island of Sulawesi, known for its capital Makassar, diverse ethnic groups such as the Bugis and Makassarese, and a long history of maritime trade.
  • E. West Sulawesi
    West Sulawesi is a province of Indonesia located on the western side of the island of Sulawesi, known for its coastal landscapes, mountainous interiors, and diverse ethnic cultures.
  • 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_69a4935c131c8190a5378c6bf101e8cc completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49ec051bc8190b3e3f8651a367d77 completed March 1, 2026, 8:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69a580335a5c819096d0c105178c4ad7 completed March 2, 2026, 12:18 p.m.
Created at: March 1, 2026, 7:35 p.m.