Triple
T16972894
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madrid metropolitan area |
E411731
|
entity |
| Predicate | hasMunicipality |
P847
|
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: [Madrid metropolitan area, hasMunicipality, Pinto]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pinto Context triple: [Madrid metropolitan area, hasMunicipality, 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_69d886ca8f348190812768ea8d5055ce |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d0ae47f08190a13e98d20aba7f16 |
completed | April 18, 2026, 6:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00d4738fbc819099e8281ebc777091 |
completed | May 10, 2026, 6:54 p.m. |
Created at: April 10, 2026, 5:31 a.m.