Triple

T2627144
Position Surface form Disambiguated ID Type / Status
Subject Monument to the Niños Héroes E59144 entity
Predicate dedicatedTo P500 FINISHED
Object Francisco Márquez E271619 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: Francisco Márquez | Statement: [Monument to the Niños Héroes, dedicatedTo, Francisco Márquez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Francisco Márquez
Context triple: [Monument to the Niños Héroes, dedicatedTo, Francisco Márquez]
  • A. Francisco Márquez chosen
    Francisco Márquez was a young Mexican military cadet and one of the famed Niños Héroes who died defending Chapultepec Castle during the Mexican–American War.
  • B. Sebastián Ramírez
    Sebastián Ramírez is a software developer best known for creating the modern, high-performance Python web framework FastAPI.
  • C. Pedro Betancourt
    Pedro Betancourt is a municipality and town in Matanzas Province, Cuba, known for its agricultural activities and rural character.
  • D. Giovanni Battista Betancourt
    Giovanni Battista Betancourt was a prominent 19th-century engineer known for his contributions to major architectural and engineering projects in the Russian Empire.
  • E. Luis Ángel Arango
    Luis Ángel Arango was a prominent Colombian banker and cultural promoter whose legacy is closely tied to the development of Bogotá’s leading public library and arts institutions.
  • 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_69ab4ac558388190962492cd2e1b0ce6 completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd8b3f72c819085e88f1d74495593 completed March 7, 2026, 7:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69b324c5ed1c8190a7b42abe24785654 completed March 12, 2026, 8:40 p.m.
Created at: March 6, 2026, 9:50 p.m.