Triple
T18868275
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marquesa de Villaverde |
E461497
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Villaverde |
—
|
NE NERFINISHED |
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: Villaverde | Statement: [Marquesa de Villaverde, namedAfter, Villaverde]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Villaverde Context triple: [Marquesa de Villaverde, namedAfter, Villaverde]
-
A.
Villaverde
Villaverde is a small municipality in the Philippine province of Nueva Vizcaya, known for its rural landscapes and agricultural economy.
-
B.
Villaverde
chosen
Villaverde is a small village in the municipality of La Oliva on the island of Fuerteventura in Spain’s Canary Islands.
-
C.
Villaverde Alto
Villaverde Alto is a Madrid Metro station in the Villaverde district that serves as a key southern endpoint and transport hub for local commuters.
-
D.
Fuenlabrada
Fuenlabrada is a large suburban city in central Spain, located southwest of Madrid and known for its rapid growth, industrial activity, and sizable commuter population.
-
E.
Collado Villalba
Collado Villalba is a commuter town and municipality in central Spain, located in the Sierra de Guadarrama northwest of Madrid.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dcfb7b9c8190854e7b171b98ea2e |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c2a6d1d081909b6dab2a5166a317 |
completed | April 20, 2026, 6:07 a.m. |
Created at: April 10, 2026, 11:57 a.m.