Triple

T16294819
Position Surface form Disambiguated ID Type / Status
Subject Roman Catholic Diocese of Getafe E395619 entity
Predicate territoryIncludes P285 FINISHED
Object Pinto E80243 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: Pinto | Statement: [Roman Catholic Diocese of Getafe, territoryIncludes, Pinto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pinto
Context triple: [Roman Catholic Diocese of Getafe, territoryIncludes, Pinto]
  • A. Pinto chosen
    Pinto is a municipality in the southern part of the Community of Madrid, Spain, known for its residential character and location near the region’s capital.
  • B. Pinto
    Pinto was the stage name of Pinto Colvig, an American voice actor, animator, and circus performer best known as the original voice of Disney’s Goofy.
  • C. Gianola
    Gianola is a coastal locality in the Gulf of Gaeta region of Italy, known for its seaside setting and proximity to natural and archaeological sites.
  • D. Homer the Mustang
    Homer the Mustang is the costumed horse mascot who represents the Billings Mustangs minor league baseball team at games and community events.
  • E. The Shorthorn
    The Shorthorn is the student-run newspaper of the University of Texas at Arlington, covering campus news, events, and issues relevant to the university community.
  • 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_69d87f22c7248190a54c949738441e2e completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e25e2c255881909d99c43770475329 completed April 17, 2026, 4:22 p.m.
NED1 Entity disambiguation (via context triple) batch_6a001f9965b8819080278ccef15288aa completed May 10, 2026, 6:03 a.m.
Created at: April 10, 2026, 5:05 a.m.