Triple
T21222433
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Es Vedrà |
E523002
|
entity |
| Predicate | distanceFromIbiza |
P70630
|
FINISHED |
| Object | approximately 2 kilometres off the 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: approximately 2 kilometres off the coast | Statement: [Es Vedrà, distanceFromIbiza, approximately 2 kilometres off the coast]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromIbiza Context triple: [Es Vedrà, distanceFromIbiza, approximately 2 kilometres off the coast]
-
A.
distanceToIbiza
chosen
Indicates the spatial distance between a given entity’s location and the location of Ibiza.
-
B.
distanceFromSeville
Indicates the spatial distance separating an entity from the location of Seville.
-
C.
distanceToBerlengas
Indicates the measured distance between a given entity’s location and the Berlengas.
-
D.
distanceToGibraltar
Indicates the measured distance between a given entity’s location and Gibraltar.
-
E.
distanceFromCórdobaCity
Indicates the spatial distance between an entity and the city of Córdoba.
- 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_69e0b511ed84819099b449b4a111085c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e734a846d08190a5470298a3ddd0f8 |
completed | April 21, 2026, 8:26 a.m. |
| PD | Predicate disambiguation | batch_69e5f60e1a888190ba75e2e900270a4e |
completed | April 20, 2026, 9:46 a.m. |
Created at: April 16, 2026, 3:43 p.m.