Triple

T4680688
Position Surface form Disambiguated ID Type / Status
Subject Yauyos Province E103791 entity
Predicate capital P234 FINISHED
Object Yauyos E103791 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: Yauyos | Statement: [Yauyos Province, capital, Yauyos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yauyos
Context triple: [Yauyos Province, capital, Yauyos]
  • A. Mulegé
    Mulegé is a large municipality in the Mexican state of Baja California Sur, known for its desert landscapes, coastal areas along the Gulf of California, and historic oasis town of the same name.
  • B. Colina
    Colina is a commune and city in central Chile known for its growing residential areas and proximity to Santiago in the Santiago Metropolitan Region.
  • C. Yauyos Province chosen
    Yauyos Province is an inland administrative division of Peru known for its high Andean landscapes, traditional Quechua-speaking communities, and part of the Nor Yauyos-Cochas scenic reserve.
  • D. Piura
    Piura is a major city in northwestern Peru known for its colonial architecture, warm climate, and role as a commercial and agricultural hub near the Pacific coast.
  • E. Huacho
    Huacho is a coastal city in central Peru that serves as an important commercial and agricultural hub north of Lima.
  • 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_69bd43debbf08190b4bc372e286ec234 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd636d306081908ff512896f54cb10 completed March 20, 2026, 3:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69be03a8b7a88190bfc4f68438694995 completed March 21, 2026, 2:34 a.m.
Created at: March 20, 2026, 1:16 p.m.