Triple
T6617345
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ceuta Heliport |
E149584
|
entity |
| Predicate | distanceToMainlandAcrossStraitOfGibraltar |
P5691
|
FINISHED |
| Object | approximately 30 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: approximately 30 kilometres | Statement: [Ceuta Heliport, distanceToMainlandAcrossStraitOfGibraltar, approximately 30 kilometres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToMainlandAcrossStraitOfGibraltar Context triple: [Ceuta Heliport, distanceToMainlandAcrossStraitOfGibraltar, approximately 30 kilometres]
-
A.
distanceAcrossStraitToMessina
Indicates the measured width or span across the strait separating a location from Messina.
-
B.
distanceFromMainland
chosen
Indicates the measured spatial separation between a location and the nearest point on the mainland.
-
C.
distanceToTristanDaCunha
Indicates the spatial distance between a given entity and Tristan da Cunha.
-
D.
distanceToIbiza
Indicates the spatial distance between a given entity’s location and the location of Ibiza.
-
E.
distanceFromFalklands
Indicates the measured spatial distance between a given entity or location and the Falkland Islands.
- 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_69c687ed8a9c81908bb671717cb192ef |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6bdb88cc881908f35648c15a7dc85 |
completed | March 27, 2026, 5:26 p.m. |
| PD | Predicate disambiguation | batch_69c6ad007c1c8190af425f51011c7ad1 |
completed | March 27, 2026, 4:14 p.m. |
Created at: March 27, 2026, 1:58 p.m.