Triple

T16898597
Position Surface form Disambiguated ID Type / Status
Subject C-3 line of Cercanías Madrid E424374 entity
Predicate serves P98 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: [C-3 line of Cercanías Madrid, serves, Pinto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pinto
Context triple: [C-3 line of Cercanías Madrid, serves, 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_69d889da3e8c8190a2b118f383f0beac completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e3c8da7b0481909111358871875023 completed April 18, 2026, 6:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c7b0783c81909c87de503d5e7e3c completed May 10, 2026, 6 p.m.
Created at: April 10, 2026, 5:29 a.m.