Triple
T15484650
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Playa de Valdevaqueros |
E377012
|
entity |
| Predicate | windType |
P37481
|
FINISHED |
| Object | Levante |
E371180
|
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: Levante | Statement: [Playa de Valdevaqueros, windType, Levante]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Levante Context triple: [Playa de Valdevaqueros, windType, Levante]
-
A.
Levante
Levante is a Spanish professional football club based in Valencia that competes in the country’s football league system.
-
B.
Levante
chosen
Levante is a strong, warm easterly wind that blows across the Strait of Gibraltar and southern Spain, often bringing dry conditions and rough seas.
-
C.
Levante
Levante is a luxury midsize SUV model produced by the Italian automaker Maserati, known for its sporty performance and upscale design.
-
D.
Costa Blanca
Costa Blanca is a popular Mediterranean coastal region in Spain’s Alicante province, renowned for its sandy beaches, resort towns, and sunny climate.
-
E.
Utiel
Utiel is a town in the province of Valencia, Spain, known as part of the Utiel-Requena wine-producing region.
- 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_69d85cd21dcc81908646251b1c26ea00 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03f8e6ff08190b130b3a38f4190e7 |
completed | April 16, 2026, 1:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff2d1170088190a911f8ea8d2a2066 |
completed | May 9, 2026, 12:48 p.m. |
Created at: April 10, 2026, 3:46 a.m.