Triple

T17648436
Position Surface form Disambiguated ID Type / Status
Subject Enríquez E429421 entity
Predicate relatedSurname P13741 FINISHED
Object Enriquez 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: Enriquez | Statement: [Enríquez, relatedSurname, Enriquez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Enriquez
Context triple: [Enríquez, relatedSurname, Enriquez]
  • A. Henríquez
    Henríquez is a Spanish-language surname commonly found in Latin American countries and among people of Hispanic heritage.
  • B. Enríquez chosen
    Enríquez is a Spanish surname historically associated with noble lineages and prominent figures in the kingdoms of Castile and Aragon.
  • C. Balbuena
    Balbuena is a metro station on Mexico City’s Line 1 serving the Balbuena neighborhood in the eastern part of the city.
  • D. Azuza
    Azuza is a city in Los Angeles County, California, known for being a suburban community in the San Gabriel Valley.
  • E. Maceda
    Maceda is a civil parish located within the municipality of Ovar in Portugal.
  • 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_69d889e2c2608190b762e76d9b2262f1 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46e3bc2f8819092e3365d9e798386 completed April 19, 2026, 5:55 a.m.
Created at: April 10, 2026, 6:05 a.m.