Triple
T13270882
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Transcontinental Air Transport |
E316050
|
entity |
| Predicate | approximateTravelTimeCoastToCoast |
P109251
|
FINISHED |
| Object | about 48 hours |
—
|
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 48 hours | Statement: [Transcontinental Air Transport, approximateTravelTimeCoastToCoast, about 48 hours]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approximateTravelTimeCoastToCoast Context triple: [Transcontinental Air Transport, approximateTravelTimeCoastToCoast, about 48 hours]
-
A.
approximateDrivingTime
Indicates the estimated amount of time it takes to drive from one location to another under typical conditions.
-
B.
distanceToCanadianBorder
Indicates the measured or estimated spatial distance between a given location and the nearest point on the Canadian national border.
-
C.
estimatedTravelTimeSFtoLA
Indicates the expected duration required to travel from San Francisco to Los Angeles.
-
D.
distanceToUSBorderByRoad_km
Indicates the distance in kilometers from a given location to the nearest point on the United States border when traveling by road.
-
E.
approximateDrivingTimeFromJuneau
Indicates the estimated amount of time it takes to drive from Juneau to another specified location.
- 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_69d806b1d9ac8190852c5571d5bd5f0f |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99cfdc9388190af1fdd3cd4717bd8 |
completed | April 11, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69d98f60911081909fa346a054f76c9f |
completed | April 11, 2026, 12:01 a.m. |
| PDg | Predicate description generation | batch_69d99cf7f9c48190a6a4f452b4a2aefa |
completed | April 11, 2026, 12:59 a.m. |
Created at: April 9, 2026, 9:26 p.m.