Triple
T11639524
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aurora Winter Train |
E276622
|
entity |
| Predicate | approximateTravelTimeAnchorageFairbanks |
P100127
|
FINISHED |
| Object | about 12 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 12 hours | Statement: [Aurora Winter Train, approximateTravelTimeAnchorageFairbanks, about 12 hours]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approximateTravelTimeAnchorageFairbanks Context triple: [Aurora Winter Train, approximateTravelTimeAnchorageFairbanks, about 12 hours]
-
A.
approximateDrivingTimeFromJuneau
Indicates the estimated amount of time it takes to drive from Juneau to another specified location.
-
B.
distanceFromFairbanks
Indicates the spatial distance between a given location or entity and the city of Fairbanks.
-
C.
distanceFromAnchorage
Indicates the measured distance between a given location or object and Anchorage.
-
D.
approximateTravelTimeToDomodedovo
Indicates the estimated amount of time it typically takes to travel from a given location to Domodedovo.
-
E.
approximateTravelTimeToVnukovo
Indicates the estimated duration it typically takes to travel from a given location to Vnukovo.
- 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_69d6aafa51148190ab84940694c00235 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a25e90c08190b7fb73939a2be3d7 |
completed | April 10, 2026, 7:10 a.m. |
| PD | Predicate disambiguation | batch_69d85dd94bdc819091fa2ed33eb31624 |
completed | April 10, 2026, 2:18 a.m. |
| PDg | Predicate description generation | batch_69d87f30642c8190ad94fa061cde186b |
completed | April 10, 2026, 4:40 a.m. |
Created at: April 8, 2026, 9:39 p.m.