Triple
T28984762
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Åre Östersund Airport |
E734647
|
entity |
| Predicate | distanceToÅre |
P202145
|
FINISHED |
| Object | about 94 km east |
—
|
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 94 km east | Statement: [Åre Östersund Airport, distanceToÅre, about 94 km east]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToÅre Context triple: [Åre Östersund Airport, distanceToÅre, about 94 km east]
-
A.
distanceTo Ålgård
Indicates the spatial distance between a given reference point and the location of Ålgård.
-
B.
distanceFromOslo
Indicates the spatial distance between a given entity’s location and the city of Oslo.
-
C.
distanceFromTrondheimApproximate
Indicates an approximate measure of how far something is from Trondheim, typically expressed as a rough or estimated distance rather than an exact value.
-
D.
distanceFromLongyearbyen
Indicates the measured distance between a given location and Longyearbyen.
-
E.
distanceFromArendal
Indicates the spatial distance between a given entity and the location of Arendal.
- 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_69f05b0dd9b481908b7901e1c95ff6b2 |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_6a0059f4ffe481908dc500cee9051148 |
completed | May 10, 2026, 10:12 a.m. |
| PD | Predicate disambiguation | batch_6a00593a3c1881909b2ff1a29eb474b3 |
completed | May 10, 2026, 10:08 a.m. |
| PDg | Predicate description generation | batch_6a0059f41e8c8190a0c73eeae9123333 |
completed | May 10, 2026, 10:12 a.m. |
Created at: April 28, 2026, 9:13 a.m.