Triple

T20048184
Position Surface form Disambiguated ID Type / Status
Subject Francisco Javier Girón y Ezpeleta E497618 entity
Predicate familyName P18 FINISHED
Object Girón 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: Girón | Statement: [Francisco Javier Girón y Ezpeleta, familyName, Girón]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Girón
Context triple: [Francisco Javier Girón y Ezpeleta, familyName, Girón]
  • A. Girón
    Girón is a historic colonial-era town and municipality in northeastern Colombia, renowned for its preserved whitewashed architecture and cobblestone streets.
  • B. Girón chosen
    Girón is a Spanish noble surname historically associated with prominent aristocratic families in Spain.
  • C. Girón
    Girón is a small town in southern Ecuador known for its colonial architecture, Andean landscapes, and historical significance within Azuay Province.
  • D. San Gil
    San Gil is a popular Colombian town in the Santander Department known as an adventure tourism hub for activities like rafting, caving, and paragliding.
  • E. Canillá
    Canillá is a rural municipality in Guatemala known for its indigenous Maya population, traditional agriculture, and mountainous highland landscapes.
  • 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_69da627278c88190babe4297a9df1236 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6632c085081908710cbc939ac9971 completed April 20, 2026, 5:32 p.m.
Created at: April 11, 2026, 3:37 p.m.