Triple

T3829585
Position Surface form Disambiguated ID Type / Status
Subject Diocese of Carabayllo E88776 entity
Predicate episcopalSee P2276 FINISHED
Object Carabayllo E394873 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: Carabayllo | Statement: [Diocese of Carabayllo, episcopalSee, Carabayllo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carabayllo
Context triple: [Diocese of Carabayllo, episcopalSee, Carabayllo]
  • A. Carabayllo chosen
    Carabayllo is a district in the northern part of Lima, Peru, known as one of the city's oldest and largest administrative areas.
  • B. Babahoyo
    Babahoyo is a city in western Ecuador that serves as the capital of Los Ríos Province and an important agricultural and commercial center.
  • C. Huacho
    Huacho is a coastal city in central Peru that serves as an important commercial and agricultural hub north of Lima.
  • D. Pucallpa
    Pucallpa is a major city in eastern Peru, located in the Amazon rainforest along the Ucayali River and serving as an important regional commercial and transportation hub.
  • E. Chorrillos
    Chorrillos is a coastal district in southern Lima, Peru, known for its beaches, fishing heritage, and role as a popular seaside resort area.
  • 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_69aed9538cf881909d9ce8ca4ac7c18c completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeeb8459f881908a2c91bb07e381ef completed March 9, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b51c75ca9481908a41234f8ce0836d completed March 14, 2026, 8:29 a.m.
Created at: March 9, 2026, 3:17 p.m.