Triple
T28403810
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prestige oil spill |
E719461
|
entity |
| Predicate | distanceFromCoastAtSinking |
P15760
|
FINISHED |
| Object | about 250 km off the Spanish coast |
—
|
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 250 km off the Spanish coast | Statement: [Prestige oil spill, distanceFromCoastAtSinking, about 250 km off the Spanish coast]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromCoastAtSinking Context triple: [Prestige oil spill, distanceFromCoastAtSinking, about 250 km off the Spanish coast]
-
A.
distanceFromCoast
chosen
Indicates the measured spatial separation between a location and the nearest point on a coastline.
-
B.
distanceToLand’sEnd
Indicates the measured distance between a given location or object and the specific place referred to as Land’s End.
-
C.
positionRelativeToCoast
Indicates the spatial relationship of something to a coastline, such as its distance or orientation relative to the coast.
-
D.
distanceFromAtlanticOcean
Indicates the measured distance between a given entity and the Atlantic Ocean.
-
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_69eff6efd1b08190ae3cefd4f11388a2 |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_6a000014497c819088d5cda3977522dd |
completed | May 10, 2026, 3:48 a.m. |
| PD | Predicate disambiguation | batch_69ffff9a52b08190be1024e0fb6fe661 |
completed | May 10, 2026, 3:46 a.m. |
Created at: April 28, 2026, 1:22 a.m.