Triple
T18890683
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Broadmoor Manitou and Pikes Peak Cog Railway |
E462076
|
entity |
| Predicate | averageTripDuration |
P109944
|
FINISHED |
| Object | about 3 hours round trip |
—
|
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 3 hours round trip | Statement: [Broadmoor Manitou and Pikes Peak Cog Railway, averageTripDuration, about 3 hours round trip]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: averageTripDuration Context triple: [Broadmoor Manitou and Pikes Peak Cog Railway, averageTripDuration, about 3 hours round trip]
-
A.
rideDuration
Indicates the length of time that a ride or trip lasts from start to finish.
-
B.
approximateTripDuration
chosen
Indicates the estimated length of time required to complete a trip between specified locations or points in a journey.
-
C.
travelTimeTypical
Indicates the usual or expected amount of time it takes to travel between two locations under normal conditions.
-
D.
transitFrequencyApprox
Indicates an approximate rate or regularity with which a transit event or service occurs between entities.
-
E.
travelTimeCategory
Indicates the qualitative classification of how long a given travel or trip duration is (e.g., short, medium, long).
- F. None of above.
Provenance (3 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_69d8dcfc3430819095ee6fc0eb4c06a5 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c47ab34c8190bfb69444a5263538 |
completed | April 20, 2026, 6:15 a.m. |
| PD | Predicate disambiguation | batch_69e4a2e27e1481908a8da10b28f07875 |
completed | April 19, 2026, 9:39 a.m. |
Created at: April 10, 2026, 11:58 a.m.