Triple
T21403286
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eysturoy Tunnel |
E527964
|
entity |
| Predicate | previousTravelTimeByRoadBetweenTórshavnAndRunavík |
P143835
|
FINISHED |
| Object | about 1 hour |
—
|
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 1 hour | Statement: [Eysturoy Tunnel, previousTravelTimeByRoadBetweenTórshavnAndRunavík, about 1 hour]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: previousTravelTimeByRoadBetweenTórshavnAndRunavík Context triple: [Eysturoy Tunnel, previousTravelTimeByRoadBetweenTórshavnAndRunavík, about 1 hour]
-
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.
travelTimeByFerry
Indicates the duration required to travel between two locations specifically using a ferry as the mode of transportation.
-
D.
distanceToLerwickKilometers
Indicates the physical distance, measured in kilometers, between a given entity’s location and the town of Lerwick.
-
E.
approximateTravelTimeAirportToOsloS_minutes
Indicates the estimated duration, in minutes, required to travel from an airport to Oslo.
- 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.