Triple

T13956398
Position Surface form Disambiguated ID Type / Status
Subject Juan Escutia E335673 entity
Predicate memorializedIn P4717 FINISHED
Object Altar a la Patria E51303 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: Altar a la Patria | Statement: [Juan Escutia, memorializedIn, Altar a la Patria]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Altar a la Patria
Context triple: [Juan Escutia, memorializedIn, Altar a la Patria]
  • A. Altar a la Patria chosen
    Altar a la Patria is a monumental memorial in Mexico City honoring the Niños Héroes, cadets who died defending Chapultepec Castle during the Mexican–American War.
  • B. Alas de la Patria
    Alas de la Patria is the official motto of the Argentine Air Force, expressing its patriotic mission and identity.
  • C. Dios y Patria
    Dios y Patria is the official motto of the Colombian Air Force, expressing its commitment to religious faith and national loyalty.
  • D. Dios y Patria
    Dios y Patria is the official motto of the National Police of Colombia, expressing its commitment to religious faith and national service.
  • E. Madre de la Patria
    Madre de la Patria is an honorific title bestowed on Leona Vicario, recognizing her as a key founding mother and heroine of Mexico’s independence.
  • 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_69d81c61f3508190aaf2ca0dc0002c59 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2e78a4a481908e438745631a43c0 completed April 14, 2026, 12:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69fba1d27a0c8190b5d95ea86fc1a420 completed May 6, 2026, 8:17 p.m.
Created at: April 9, 2026, 10:17 p.m.