Triple
T8222446
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thanet Offshore Wind Farm |
E192095
|
entity |
| Predicate | exportCableLandfall |
P61512
|
FINISHED |
| Object | Pegwell Bay area |
—
|
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: Pegwell Bay area | Statement: [Thanet Offshore Wind Farm, exportCableLandfall, Pegwell Bay area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: exportCableLandfall Context triple: [Thanet Offshore Wind Farm, exportCableLandfall, Pegwell Bay area]
-
A.
cableEnd
chosen
Indicates that one entity represents an endpoint or terminal position of a cable in relation to another entity.
-
B.
landfallLocation
Indicates the geographic location where a storm or similar weather system first makes landfall.
-
C.
landedNear
Indicates that one entity has come to rest on a surface or location in close proximity to another specified entity or reference point.
-
D.
connectsLandform
Indicates a relationship where one landform serves as a physical link or passage between two or more other landforms.
-
E.
connectsCoastalCity
Indicates a relationship where one entity provides a direct connection or link (such as transport or infrastructure) between coastal 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_69ca82c9a8ac81908b011c38698456e4 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb77cae2948190ae4507b75b5d5784 |
completed | March 31, 2026, 7:29 a.m. |
| PD | Predicate disambiguation | batch_69cb36af41e081909dee92b9bc4947f1 |
completed | March 31, 2026, 2:51 a.m. |
Created at: March 30, 2026, 5:45 p.m.