Triple

T23457414
Position Surface form Disambiguated ID Type / Status
Subject Mompox Depression E567966 entity
Predicate near P350 FINISHED
Object Magangué 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: Magangué | Statement: [Mompox Depression, near, Magangué]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Magangué
Context triple: [Mompox Depression, near, Magangué]
  • A. Magangué chosen
    Magangué is a Colombian city located in the department of Bolívar, known as an important commercial and river port along the Magdalena River.
  • B. Tabatinga
    Tabatinga is a Brazilian border town in the Amazon region, located at the tri-border area with Colombia and Peru along the Amazon River.
  • C. Guanare
    Guanare is a city in western Venezuela that serves as the administrative and economic center of Portuguesa State.
  • D. Tucupita
    Tucupita is a small Venezuelan city that serves as the capital of Delta Amacuro state and the main urban center near the Orinoco Delta.
  • E. Mocoa
    Mocoa is a small city in southwestern Colombia, known as the administrative and commercial center of the Putumayo region and as a gateway to the Amazon foothills.
  • 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_69e2458b4c888190b1d7998f9862a558 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1a69904588190b44c84021e94ae63 completed April 29, 2026, 6:35 a.m.
Created at: April 17, 2026, 5:53 p.m.