Triple
T30967392
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Rhyl Offshore Wind Farm (planned) |
E788994
|
entity |
| Predicate | nearbyUrbanReference |
P36605
|
FINISHED |
| Object | Rhyl |
—
|
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: Rhyl | Statement: [North Rhyl Offshore Wind Farm (planned), nearbyUrbanReference, Rhyl]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nearbyUrbanReference Context triple: [North Rhyl Offshore Wind Farm (planned), nearbyUrbanReference, Rhyl]
-
A.
nearbyUrbanCenter
chosen
Indicates that one location is geographically close to an urban center, such as a city or large town.
-
B.
nearbyLocation
Indicates that one location is situated close to another location in physical space.
-
C.
nearbyTo
Indicates that one entity is located close in distance or position to another entity.
-
D.
typicalNearbyLandmarks
Indicates that certain landmarks are commonly found in the vicinity of a given place or location.
-
E.
nearestCityTo
Indicates that one city is the closest in distance to a given location or entity compared to all other cities.
- 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_69f224c3a6b48190951add9b7b7f0271 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fd49f6dbac81909744373a357b7982 |
completed | May 8, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69fd48ed68f481908374183c66a6b055 |
completed | May 8, 2026, 2:22 a.m. |
Created at: April 29, 2026, 8:54 p.m.