Triple

T16823317
Position Surface form Disambiguated ID Type / Status
Subject Ortiz de Domínguez E408950 entity
Predicate component P35 FINISHED
Object Domínguez E344152 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: Domínguez | Statement: [Ortiz de Domínguez, component, Domínguez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Domínguez
Context triple: [Ortiz de Domínguez, component, Domínguez]
  • A. Domínguez chosen
    Domínguez is a Spanish surname notably borne by the actor Antonio Banderas, whose full birth name is José Antonio Domínguez Bandera.
  • B. González
    González is a common Spanish-language surname widely borne across Spain and Latin America, often associated with Iberian heritage.
  • C. Jiménez
    Jiménez is a rural municipality in Costa Rica known for its agricultural activities and location within Cartago Province.
  • D. Balderas
    Balderas is a major Mexico City Metro station known for its central location and high passenger traffic.
  • E. Duarte
    Duarte is a suburban city in Los Angeles County, California, located in the San Gabriel Valley along the foothills of the San Gabriel Mountains.
  • 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_69d88394566c8190b3dcbdc72935f7fa completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b2e838e881908b650194c9b94886 completed April 18, 2026, 4:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00b29c170c81908fcc88c31e266ffb completed May 10, 2026, 4:30 p.m.
Created at: April 10, 2026, 5:23 a.m.