Triple

T3875142
Position Surface form Disambiguated ID Type / Status
Subject Personal Prelature of Ayaviri E92482 entity
Predicate locatedIn P40 FINISHED
Object Ayaviri E394646 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: Ayaviri | Statement: [Personal Prelature of Ayaviri, locatedIn, Ayaviri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ayaviri
Context triple: [Personal Prelature of Ayaviri, locatedIn, Ayaviri]
  • A. Ayaviri chosen
    Ayaviri is a town in southern Peru that serves as a regional religious and administrative center, notably as the seat of a Catholic ecclesiastical jurisdiction.
  • B. Pichasca
    Pichasca is a small settlement in Chile known for its proximity to the Hurtado River and the surrounding Andean landscapes.
  • C. Horcón
    Horcón is a small rural village in Chile’s Elqui Valley, known for its scenic Andean surroundings and traditional agricultural lifestyle.
  • D. Yaguachi
    Yaguachi is a town and canton in coastal Ecuador known for its agricultural economy and location within Guayas Province.
  • 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 (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_69aed967448c819086c4b358d37b25aa completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeec706434819095e0d2b376adb548 completed March 9, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69b51c87214881908e03f5c770c58713 completed March 14, 2026, 8:29 a.m.
Created at: March 9, 2026, 3:20 p.m.