Triple

T10834315
Position Surface form Disambiguated ID Type / Status
Subject Luis Carrera E255707 entity
Predicate familyName P18 FINISHED
Object Carrera E530014 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: Carrera | Statement: [Luis Carrera, familyName, Carrera]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carrera
Context triple: [Luis Carrera, familyName, Carrera]
  • A. Carrera chosen
    Carrera is a Spanish-language surname of Basque origin borne by various notable figures in Hispanic history and culture.
  • B. Carrera
    Carrera is a model designation used by Porsche for high-performance variants of its 911 sports car, known for their speed, handling, and iconic design.
  • C. Carrera
    Carrera is a renowned line of luxury sports watches produced by the Swiss watchmaker TAG Heuer, known for its racing-inspired design and chronograph functionality.
  • D. Carreras
    Carreras is a Spanish surname most famously associated with José Carreras, the renowned operatic tenor and member of The Three Tenors.
  • E. Carrera Séptima
    Carrera Séptima is one of Bogotá’s main thoroughfares, a historic north–south avenue that serves as a key commercial and cultural corridor through multiple localities of the city.
  • 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_69d6aa81a5d08190aa86689061d1ddd2 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d74425447081908fb51c7edf54af67 completed April 9, 2026, 6:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69deb11a264c8190829ff89f0b13d063 completed April 14, 2026, 9:26 p.m.
Created at: April 8, 2026, 9:19 p.m.