Triple

T5885547
Position Surface form Disambiguated ID Type / Status
Subject Cueto Municipality E130851 entity
Predicate contains P35 FINISHED
Object Cueto E126602 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: Cueto | Statement: [Cueto Municipality, contains, Cueto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cueto
Context triple: [Cueto Municipality, contains, Cueto]
  • A. Cueto chosen
    Cueto is a small town in eastern Cuba that serves as the administrative center of the surrounding rural municipality.
  • B. Johnny Cueto
    Johnny Cueto is a Dominican professional baseball pitcher known for his successful Major League Baseball career highlighted by an All-Star selection and a World Series championship.
  • C. Paul Mejia
    Paul Mejia is a former ballet dancer and choreographer, known for his work with major American ballet companies and his marriage to renowned ballerina Suzanne Farrell.
  • D. Yu Darvish
    Yu Darvish is a Japanese professional baseball pitcher known for his dominant performances in both Nippon Professional Baseball and Major League Baseball, as well as his key role in international competitions.
  • E. Trevor Bauer
    Trevor Bauer is an American professional baseball pitcher known for his high strikeout rates, analytical approach to pitching, and a Cy Young Award–winning season in Major League Baseball.
  • 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_69c0085628dc8190b334c1b44c067efc completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c03678dd2c819095926f80f25696b0 completed March 22, 2026, 6:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0b13ce8788190b07771180f0fa376 completed March 23, 2026, 3:19 a.m.
Created at: March 22, 2026, 3:57 p.m.