Triple
T16790093
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vinaròs |
E408082
|
entity |
| Predicate | alternativeName |
P39
|
FINISHED |
| Object | Vinaroz |
E408082
|
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: Vinaroz | Statement: [Vinaròs, alternativeName, Vinaroz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vinaroz Context triple: [Vinaròs, alternativeName, Vinaroz]
-
A.
Vinaròs
chosen
Vinaròs is a coastal town in the province of Castellón, Spain, known for its fishing port, beaches, and historic role in the Spanish Civil War.
-
B.
Viura
Viura is a white grape variety from Spain, best known as the primary grape used in the white wines of Rioja and often referred to as Macabeo in other regions.
-
C.
Vernazobre
Vernazobre is a river in southern France that serves as a tributary of the Orb.
-
D.
Rotja
Rotja is a river in the Conflent region of the French Pyrenees, known for flowing through mountainous valleys and natural landscapes.
-
E.
Gironella
Gironella is a small municipality in Catalonia, Spain, known for its historic textile industry and location along the Llobregat River.
- 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_69d8839270588190886720d9519bbf8f |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3b2a50e18819090a30e1f38e520e0 |
completed | April 18, 2026, 4:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00bb0adc408190a9cbfefdef8c669e |
completed | May 10, 2026, 5:06 p.m. |
Created at: April 10, 2026, 5:22 a.m.