Triple

T10381777
Position Surface form Disambiguated ID Type / Status
Subject Melchor Ocampo E244658 entity
Predicate familyName P18 FINISHED
Object Ocampo E842580 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: Ocampo | Statement: [Melchor Ocampo, familyName, Ocampo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ocampo
Context triple: [Melchor Ocampo, familyName, Ocampo]
  • A. Ocampo chosen
    Ocampo is a Spanish-language surname borne by various notable figures in politics, arts, and academia across Latin America and Spain.
  • B. Del Valle
    Del Valle is a centrally located, middle- to upper-class residential and commercial neighborhood in Mexico City known for its quiet streets, parks, and urban amenities.
  • C. Carrillo
    Carrillo is a Spanish-origin surname borne by numerous notable individuals across the Spanish-speaking world and beyond.
  • D. Montúfar
    Montúfar is a Spanish-origin surname historically associated with notable figures in Latin American colonial and independence-era history.
  • E. Autlán de Navarro
    Autlán de Navarro is a municipality and city in the Mexican state of Jalisco, known for its agricultural economy and traditional cultural festivities.
  • 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_69d381b3e328819094b23b8edcd29b5a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e992d8e08190aaa9a04925f52ccc completed April 7, 2026, 11:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69d79592512c8190b999191f16e3133c completed April 9, 2026, 12:03 p.m.
Created at: April 6, 2026, 12:04 p.m.