Triple
T2028768
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tangier |
E44467
|
entity |
| Predicate | distanceToEurope |
P6357
|
FINISHED |
| Object | about 14 kilometers across the Strait of Gibraltar |
—
|
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 14 kilometers across the Strait of Gibraltar | Statement: [Tangier, distanceToEurope, about 14 kilometers across the Strait of Gibraltar]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToEurope Context triple: [Tangier, distanceToEurope, about 14 kilometers across the Strait of Gibraltar]
-
A.
distanceToContinentApproximate
chosen
Indicates an approximate measure of how far something is from a specified continent.
-
B.
distanceToFrance
Indicates the spatial distance between a given entity and the country of France.
-
C.
distanceFromMediterranean
Indicates the measured spatial distance between a given location and the Mediterranean Sea.
-
D.
distanceFromMainland
Indicates the measured spatial separation between a location and the nearest point on the mainland.
-
E.
distanceToSouthAmerica
Indicates the spatial distance between a given entity’s location and the continent of South America.
- 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_69a889144f2481909932f0746a93023d |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb9136f888190b0fd03530e9eda1e |
completed | March 7, 2026, 5:35 a.m. |
| PD | Predicate disambiguation | batch_69abb7a656248190ac2ced196b35bc6b |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:38 p.m.