Triple

T13661983
Position Surface form Disambiguated ID Type / Status
Subject Kia E327019 entity
Predicate locatedIn P40 FINISHED
Object Isabel Province E178058 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: Isabel Province | Statement: [Kia, locatedIn, Isabel Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Isabel Province
Context triple: [Kia, locatedIn, Isabel Province]
  • A. Isabel Province chosen
    Isabel Province is a largely rural island province in the Solomon Islands, known for its mountainous terrain, traditional villages, and rich marine and forest biodiversity.
  • B. Almeidas Province
    Almeidas Province is an administrative subdivision of the Cundinamarca Department in central Colombia, comprising several municipalities in the Andean highlands.
  • C. Muñecas Province
    Muñecas Province is an administrative subdivision in the northern part of Bolivia’s La Paz Department, known for its rural Andean communities and mountainous terrain.
  • D. Santa Isabel Province
    Santa Isabel Province is an island province of the Solomon Islands in the southwestern Pacific Ocean, known for its indigenous cultures and tropical landscapes.
  • E. Celendín Province
    Celendín Province is an administrative division in northern Peru known for its Andean landscapes, rural communities, and traditional highland culture.
  • 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_69d8076d8270819092afc2f0e9c359a8 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc620df208190afaccf3ddd10aa60 completed April 12, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f79d46c48c81908d64f1a32cf08c5b completed May 3, 2026, 7:08 p.m.
Created at: April 9, 2026, 9:52 p.m.