Triple

T17859120
Position Surface form Disambiguated ID Type / Status
Subject Yarowilca Province E446018 entity
Predicate administrativeCenter P1474 FINISHED
Object Chavinillo NE NERFINISHED

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: Chavinillo | Statement: [Yarowilca Province, administrativeCenter, Chavinillo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chavinillo
Context triple: [Yarowilca Province, administrativeCenter, Chavinillo]
  • A. Chavinillo chosen
    Chavinillo is a small Andean town in central Peru that serves as an administrative and commercial hub for the surrounding rural communities.
  • B. Achacachi
    Achacachi is a town in Bolivia known as a commercial and cultural center of the Aymara people near Lake Titicaca.
  • C. Chowchillan
    A Chowchillan is a resident or native of the city of Chowchilla in California.
  • D. Chiriguaná
    Chiriguaná is a municipality and town in northern Colombia’s Cesar Department, known for its agricultural economy and location along key transport routes in the Caribbean region.
  • E. Chachani
    Chachani is a large, dormant stratovolcano in southern Peru, overlooking the city of Arequipa and popular with high-altitude trekkers and climbers.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9f26f18819089c9e43250bee6ae completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4978e68ec8190a4306f7b7bb058d7 completed April 19, 2026, 8:51 a.m.
Created at: April 10, 2026, 10:17 a.m.