Triple

T22590102
Position Surface form Disambiguated ID Type / Status
Subject Circuito de Playas E564920 entity
Predicate connectsDistrict P2564 FINISHED
Object Barranco 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: Barranco | Statement: [Circuito de Playas, connectsDistrict, Barranco]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Barranco
Context triple: [Circuito de Playas, connectsDistrict, Barranco]
  • A. Barranco chosen
    Barranco is a bohemian coastal district of Lima, Peru, known for its vibrant arts scene, nightlife, and colorful colonial-era architecture.
  • B. Barranca
    Barranca is a coastal city in northern Lima Region, Peru, known as a provincial capital and agricultural and commercial hub.
  • C. Valle de la Barranca
    Valle de la Barranca is a scenic mountain valley in Spain’s Sierra de Guadarrama known for its pine forests, hiking trails, and views of nearby peaks.
  • D. Bajada del Agrio
    Bajada del Agrio is a small town in Argentina’s Neuquén Province, known for its rural character and proximity to the Agrio River.
  • E. Valle del Fuerte
    Valle del Fuerte is an agricultural region in the state of Sinaloa, Mexico, known for its fertile lands and irrigation-based farming centered around cities like Los Mochis.
  • 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_69e245836014819091b91ed3074742a3 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1615f63788190acf776b313f0794a completed April 29, 2026, 1:39 a.m.
Created at: April 17, 2026, 2:48 p.m.