Triple

T13753988
Position Surface form Disambiguated ID Type / Status
Subject Jambelí Channel E330425 entity
Predicate hasNearbyCity P350 FINISHED
Object Machala E241443 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: Machala | Statement: [Jambelí Channel, hasNearbyCity, Machala]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Machala
Context triple: [Jambelí Channel, hasNearbyCity, Machala]
  • A. Machala chosen
    Machala is a coastal city in southwestern Ecuador known as a major banana-exporting port and the capital of El Oro Province.
  • B. Moyobamba
    Moyobamba is a city in northern Peru known for its rich biodiversity, orchid gardens, and role as a commercial and cultural hub in the Amazonian highlands.
  • C. 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.
  • D. Ancón District
    Ancón District is a coastal district in the northern part of Lima Province, Peru, known for its beaches and role as a popular seaside resort area.
  • E. Abancay
    Abancay is a city in the Andean highlands of Peru, serving as the capital of the Apurímac Region and known for its mild climate and surrounding mountainous landscapes.
  • 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_69d81c573f288190aa2403d484fa3d49 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02179c948190a652cc8c586e418f completed April 14, 2026, 9 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7a85813e88190a63fecf8b0675df6 completed May 3, 2026, 7:56 p.m.
Created at: April 9, 2026, 10:09 p.m.