Triple

T2027980
Position Surface form Disambiguated ID Type / Status
Subject Operation Promote Liberty E44451 entity
Predicate location P40 FINISHED
Object Colón E14841 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: Colón | Statement: [Operation Promote Liberty, location, Colón]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Colón
Context triple: [Operation Promote Liberty, location, Colón]
  • A. Colón
    Colón is a municipality and city in western Cuba known for its agricultural surroundings and colonial-era architecture.
  • B. Colón chosen
    Colón is a major Panamanian port city on the Caribbean coast, known as a key gateway to the Panama Canal and an important center for trade and shipping.
  • C. Diego Columbus
    Diego Columbus was the eldest legitimate son of Christopher Columbus who became a Spanish colonial governor in the Caribbean, notably serving as Viceroy of the Indies.
  • D. Balboa
    Balboa was the administrative center and principal town of the former U.S.-controlled Panama Canal Zone, located at the Pacific entrance of the Panama Canal.
  • E. Diego Gutiérrez
    Diego Gutiérrez is a former professional soccer midfielder and defender best known for his successful Major League Soccer career in the late 1990s and 2000s, particularly with the Chicago Fire.
  • 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_69a889144f2481909932f0746a93023d completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb911e5dc819097e40af0da4d01e7 completed March 7, 2026, 5:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae0afc9e3c8190a045ef1c987c4141 completed March 8, 2026, 11:49 p.m.
Created at: March 4, 2026, 7:38 p.m.