Triple

T16793003
Position Surface form Disambiguated ID Type / Status
Subject Cordillera de los Maribios E408158 entity
Predicate nearbyCity P350 FINISHED
Object Chinandega E424376 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: Chinandega | Statement: [Cordillera de los Maribios, nearbyCity, Chinandega]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chinandega
Context triple: [Cordillera de los Maribios, nearbyCity, Chinandega]
  • A. Chinandega chosen
    Chinandega is a city in northwestern Nicaragua known as a commercial and agricultural hub near the country’s highest volcanoes.
  • B. Caxarias
    Caxarias is a civil parish and locality within the municipality of Ourém in central Portugal.
  • C. Cayastá
    Cayastá is a small town in Argentina’s Santa Fe Province known for its proximity to the historic Santa Fe La Vieja archaeological site, which preserves the remains of one of the region’s earliest Spanish settlements.
  • D. Cochamó
    Cochamó is a rural commune and village in Chile’s Los Lagos Region, known for its dramatic granite valleys, lush temperate rainforests, and outdoor recreation such as trekking and rock climbing.
  • E. Tanguá
    Tanguá is a small municipality in the state of Rio de Janeiro, Brazil, known for its rural character and integration into the greater Rio de Janeiro metropolitan 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_69d88393905081908d00a86b99996ac8 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b2a7817c8190a53d0cfb5ef66a71 completed April 18, 2026, 4:34 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00ab0e1e9c8190bb2ef0825b25f6e5 completed May 10, 2026, 3:58 p.m.
Created at: April 10, 2026, 5:22 a.m.