Triple
T5408427
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Three Peaks Challenge |
E120949
|
entity |
| Predicate | typicalTransportBetweenPeaks |
P63253
|
FINISHED |
| Object | minibus |
—
|
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: minibus | Statement: [National Three Peaks Challenge, typicalTransportBetweenPeaks, minibus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalTransportBetweenPeaks Context triple: [National Three Peaks Challenge, typicalTransportBetweenPeaks, minibus]
-
A.
durationTypicalAscent
Indicates the typical amount of time required to complete an ascent.
-
B.
crossesMountainRange
Indicates that one entity traverses from one side of a mountain range to the other, passing through or over it.
-
C.
hasSkiLiftConnectionTo
Indicates a relationship where one location is directly connected to another by a ski lift, allowing travel between them via that lift.
-
D.
typicalAscentStartPoint
Indicates the usual or most common location from which an ascent or climb is begun.
-
E.
crossesMountainPass
Indicates that an entity traverses from one side of a mountain range to another via a defined mountain pass.
- 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_69bd46391c0c81909fa484446732b6a3 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd8794e0c4819082bebf2da5e41201 |
completed | March 20, 2026, 5:44 p.m. |
| PD | Predicate disambiguation | batch_69bd8467e6b48190b9eaa9de67072e06 |
completed | March 20, 2026, 5:31 p.m. |
| PDg | Predicate description generation | batch_69bd865702ec8190831bde2c2a331f28 |
completed | March 20, 2026, 5:39 p.m. |
Created at: March 20, 2026, 2:05 p.m.