Triple
T36172721
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cowes–Dinard–St Malo Race |
E1046188
|
entity |
| Predicate | nauticalDistance |
P184995
|
FINISHED |
| Object | approximately 150 nautical miles |
—
|
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 150 nautical miles | Statement: [Cowes–Dinard–St Malo Race, nauticalDistance, approximately 150 nautical miles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nauticalDistance Context triple: [Cowes–Dinard–St Malo Race, nauticalDistance, approximately 150 nautical miles]
-
A.
flightDistance
Indicates the measured distance covered by a flight between its origin and destination.
-
B.
distanceBetweenIslands
Indicates the measured spatial separation between two distinct islands.
-
C.
distanceBetweenParallels
Indicates the perpendicular distance separating two parallel lines or planes.
-
D.
distanceToNapier
Indicates the spatial distance between a given entity and the location identified as Napier.
-
E.
approximateGreatCircleDistanceMiles
Indicates the approximate distance, measured in miles, between two locations along the great-circle path on the surface of a sphere (typically the Earth).
- F. None of above. chosen
Provenance (4 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_69f76e396bc88190b99d221bff9be27a |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7b69b333081909cadbed3fcb8ecf5 |
completed | May 3, 2026, 8:56 p.m. |
| PD | Predicate disambiguation | batch_69f7b4c2a5f8819094ad4621d7b97e0c |
completed | May 3, 2026, 8:49 p.m. |
| PDg | Predicate description generation | batch_69f7b69a74a08190b31b1201278a2c57 |
completed | May 3, 2026, 8:56 p.m. |
Created at: May 3, 2026, 4:08 p.m.