Triple

T20840750
Position Surface form Disambiguated ID Type / Status
Subject Carlos Altamirano E513092 entity
Predicate familyName P18 FINISHED
Object Altamirano 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: Altamirano | Statement: [Carlos Altamirano, familyName, Altamirano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Altamirano
Context triple: [Carlos Altamirano, familyName, Altamirano]
  • A. Altamirano chosen
    Altamirano is a municipality in the Mexican state of Chiapas known for its significant Indigenous Tzeltal population and role in regional social and political movements.
  • B. Doroteo
    Doroteo is the given name of Doroteo Guamuch Flores, a renowned Guatemalan long-distance runner and Boston Marathon champion.
  • C. Díaz
    Díaz is a common Spanish surname borne by numerous notable figures in politics, arts, and sports across the Spanish-speaking world.
  • D. Villacarlos
    Villacarlos is the former name of Es Castell, a coastal town on the island of Menorca in Spain known for its natural harbor and military history.
  • E. Juárez
    Juárez is a major Mexican border city in the state of Chihuahua, located across the Rio Grande from El Paso, Texas, and known for its manufacturing industry and strategic trade position.
  • 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_69e0b4cf62a88190bbf92351e9e57259 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c34b17b88190b3290bd5100ad2ad completed April 21, 2026, 12:22 a.m.
Created at: April 16, 2026, 12:43 p.m.