Triple

T2484882
Position Surface form Disambiguated ID Type / Status
Subject Nariño E55901 entity
Predicate hasPortCity P2745 FINISHED
Object Tumaco E63112 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: Tumaco | Statement: [Nariño, hasPortCity, Tumaco]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tumaco
Context triple: [Nariño, hasPortCity, Tumaco]
  • A. Tumaco chosen
    Tumaco is a coastal city and municipality in southwestern Colombia, known for its Afro-Colombian culture, Pacific beaches, and rich pre-Hispanic goldworking heritage.
  • B. Barrancabermeja
    Barrancabermeja is a Colombian city known as a major oil refining and petrochemical center located along the Magdalena River.
  • C. Sogamoso
    Sogamoso is a Colombian city in the Andean region known historically as a major religious and cultural center of the Muisca civilization and today for its industry and mining.
  • D. Soacha
    Soacha is a rapidly growing industrial and residential city in central Colombia, located just southwest of Bogotá in the department of Cundinamarca.
  • E. Cajicá
    Cajicá is a Colombian town and municipality in the department of Cundinamarca, known for its colonial heritage and proximity to Bogotá.
  • 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_69ab49e670a88190b928e08302381710 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd175f5ac8190870db9c6cb8e45bd completed March 7, 2026, 7:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69af2b8021e08190a9197659387ec4f8 completed March 9, 2026, 8:20 p.m.
Created at: March 6, 2026, 9:45 p.m.