Triple
T18957970
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madrid–Alicante railway |
E463828
|
entity |
| Predicate | servesCity |
P82
|
FINISHED |
| Object | Villena |
—
|
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: Villena | Statement: [Madrid–Alicante railway, servesCity, Villena]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Villena Context triple: [Madrid–Alicante railway, servesCity, Villena]
-
A.
Villena
chosen
Villena is a historic city in the province of Alicante, Spain, known for its medieval castle, archaeological heritage, and traditional festivals.
-
B.
Alhué
Alhué is a rural commune and town in central Chile known for its agricultural activities and traditional countryside character within the Santiago Metropolitan Region.
-
C.
Valencia de las Torres
Valencia de las Torres is a small rural municipality in the Las Vegas Altas del Guadiana comarca of the Extremadura region in western Spain.
-
D.
Burriana
Burriana is a coastal town in Spain’s Valencian Community known for its Mediterranean beaches and role as a holiday resort on the Costa del Azahar.
-
E.
Villar del Cobo
Villar del Cobo is a small rural municipality in the province of Teruel, Aragon, Spain, situated in the mountainous Sierra de Albarracín comarca.
- 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_69d8dcffc278819086792a4ebfddfafa |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d5cee8348190b6506b10aed6c58a |
completed | April 20, 2026, 7:29 a.m. |
Created at: April 10, 2026, noon