Triple
T21403287
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eysturoy Tunnel |
E527964
|
entity |
| Predicate | newTravelTimeByRoadBetweenTórshavnAndRunavík |
P143836
|
FINISHED |
| Object | about 15 minutes |
—
|
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 15 minutes | Statement: [Eysturoy Tunnel, newTravelTimeByRoadBetweenTórshavnAndRunavík, about 15 minutes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: newTravelTimeByRoadBetweenTórshavnAndRunavík Context triple: [Eysturoy Tunnel, newTravelTimeByRoadBetweenTórshavnAndRunavík, about 15 minutes]
-
A.
distance to Tórshavn (kilometers)
Indicates the length, in kilometers, of the shortest travel distance between an entity and the location Tórshavn.
-
B.
distanceFromReykjavík
Indicates the spatial distance between an entity’s location and the city of Reykjavík.
-
C.
distanceToLerwickKilometers
Indicates the physical distance, measured in kilometers, between a given entity’s location and the town of Lerwick.
-
D.
distanceFromLongyearbyen
Indicates the measured distance between a given location and Longyearbyen.
-
E.
distanceFromKristiansand
Indicates the spatial distance between a given location or object and the city of Kristiansand.
- 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_69e0b520ee3c8190abddbee7e37e834c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8b171f3448190add844a426b0a606 |
completed | April 22, 2026, 11:30 a.m. |
| PD | Predicate disambiguation | batch_69e61633f8208190a2a849457c4e4198 |
completed | April 20, 2026, 12:04 p.m. |
| PDg | Predicate description generation | batch_69e6190163448190a2404b396215c686 |
completed | April 20, 2026, 12:16 p.m. |
Created at: April 16, 2026, 5:27 p.m.