Triple
T9255174
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Irish Sea offshore wind farms |
E222421
|
entity |
| Predicate | typicalDistanceFromShore |
P15760
|
FINISHED |
| Object | several kilometres to tens of kilometres |
—
|
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: several kilometres to tens of kilometres | Statement: [Irish Sea offshore wind farms, typicalDistanceFromShore, several kilometres to tens of kilometres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalDistanceFromShore Context triple: [Irish Sea offshore wind farms, typicalDistanceFromShore, several kilometres to tens of kilometres]
-
A.
distanceFromCoast
chosen
Indicates the measured spatial separation between a location and the nearest point on a coastline.
-
B.
distanceFromMainland
Indicates the measured spatial separation between a location and the nearest point on the mainland.
-
C.
shoreType
Indicates the kind or classification of a shoreline associated with a body of water or coastal area.
-
D.
hasHighwayAlongShore
Indicates that a highway runs adjacent to or closely follows the shoreline of a body of water.
-
E.
hasNearbyCoast
Indicates that one location is situated close to a coastline or seashore.
- 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_69ca841e4cd481908e738c74e958eaea |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd06b3c314819096632b8263288aae |
completed | April 1, 2026, 11:51 a.m. |
| PD | Predicate disambiguation | batch_69cc7a4e79e48190b3200247f4624867 |
completed | April 1, 2026, 1:52 a.m. |
Created at: March 30, 2026, 7:31 p.m.