Triple

T9360249
Position Surface form Disambiguated ID Type / Status
Subject Oro en Paz, Fierro en Guerra E225258 entity
Predicate hasWord P35 FINISHED
Object Paz E276838 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: Paz | Statement: [Oro en Paz, Fierro en Guerra, hasWord, Paz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paz
Context triple: [Oro en Paz, Fierro en Guerra, hasWord, Paz]
  • A. Paz chosen
    Paz is a Spanish word meaning "peace," commonly used in mottos and expressions emphasizing harmony and non-violence.
  • B. Paz de Ariporo
    Paz de Ariporo is a Colombian town and municipality located in the eastern plains region, known for its cattle ranching and llanero culture.
  • C. Pero
    Pero is a common South Slavic diminutive form of the male given name Petar (Peter).
  • D. Pero
    Pero is a West Chadic language spoken in parts of Nigeria.
  • E. Burque
    Burque is a colloquial nickname commonly used to refer to the city of Albuquerque, New Mexico.
  • 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_69ca842bdd648190904131d58620d448 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd4ff2ca9081908ccc88651640ed84 completed April 1, 2026, 5:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0f3e27cac8190a48393fa4bdff6b8 completed April 4, 2026, 11:20 a.m.
Created at: March 30, 2026, 7:42 p.m.