Triple
T5083957
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Steep Holm |
E114589
|
entity |
| Predicate | distanceToShore |
P15760
|
FINISHED |
| Object | about 9.7 kilometres from Weston-super-Mare |
—
|
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: about 9.7 kilometres from Weston-super-Mare | Statement: [Steep Holm, distanceToShore, about 9.7 kilometres from Weston-super-Mare]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToShore Context triple: [Steep Holm, distanceToShore, about 9.7 kilometres from Weston-super-Mare]
-
A.
distanceFromCoast
chosen
Indicates the measured spatial separation between a location and the nearest point on a coastline.
-
B.
stateOnNearestShore
Indicates that an entity is located on the shore that is geographically closest to another specified reference point or entity.
-
C.
hasNearbyCoast
Indicates that one location is situated close to a coastline or seashore.
-
D.
distanceToPacificOcean
Indicates the physical distance between a given location or entity and the Pacific Ocean.
-
E.
shoreType
Indicates the kind or classification of a shoreline associated with a body of water or coastal area.
- 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_69bd443e941881908eb4e8c685b6f656 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7517af308190bab5507a9344bf68 |
completed | March 20, 2026, 4:25 p.m. |
| PD | Predicate disambiguation | batch_69bd7159adc881909effd4382c395c66 |
completed | March 20, 2026, 4:10 p.m. |
Created at: March 20, 2026, 1:40 p.m.