Triple
T15604949
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Playa de Los Lances |
E375134
|
entity |
| Predicate | hasWindType |
P37481
|
FINISHED |
| Object | Poniente |
—
|
LITERAL 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: Poniente | Statement: [Playa de Los Lances, hasWindType, Poniente]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWindType Context triple: [Playa de Los Lances, hasWindType, Poniente]
-
A.
hasWindPattern
chosen
Indicates that one entity exhibits, is characterized by, or is associated with a particular pattern of wind behavior.
-
B.
windSpeed
Indicates the measured or estimated rate at which wind is moving at a given location and time.
-
C.
usedWhenWindFrom
Indicates that something is employed or activated under conditions where the wind is coming from a specified direction.
-
D.
hasWindFarm
Indicates that one entity possesses, hosts, or contains a wind farm as part of its assets, infrastructure, or territory.
-
E.
windCharacteristics
Indicates the specific properties or qualities that describe the behavior and nature of the wind in a given context.
- F. None of above.
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_69d85cce25008190b13b52745fbd719b |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e7d9328819090e93d55881269a5 |
completed | April 16, 2026, 2:50 a.m. |
| PD | Predicate disambiguation | batch_69deda844af081909e658ebc9d9b403d |
completed | April 15, 2026, 12:23 a.m. |
Created at: April 10, 2026, 4:12 a.m.