Triple
T17127112
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Belford |
E415623
|
entity |
| Predicate | snowClimbingPossibleIn |
P120805
|
FINISHED |
| Object | winter |
—
|
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: winter | Statement: [Mount Belford, snowClimbingPossibleIn, winter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: snowClimbingPossibleIn Context triple: [Mount Belford, snowClimbingPossibleIn, winter]
-
A.
hasNightSkiing
Indicates that a location or facility offers skiing activities that take place during nighttime under artificial lighting.
-
B.
canHaveSnowIn
chosen
Indicates that a location is capable of experiencing snowfall during a particular time or under certain conditions.
-
C.
hasSnowAtHighElevations
Indicates that snow is present in areas located at higher elevations within a given region or context.
-
D.
hasWinterSports
Indicates that an entity offers, supports, or is associated with winter sports activities.
-
E.
hasGlacierSkiingSeason
Indicates that a location or ski area offers a skiing season specifically on glacier terrain.
- 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_69d886d090cc8190a39cb94992586905 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f027a3d081908fc1134b50db3d45 |
completed | April 18, 2026, 8:57 p.m. |
| PD | Predicate disambiguation | batch_69e3830192ac819091344a9e5a36c8c9 |
completed | April 18, 2026, 1:11 p.m. |
Created at: April 10, 2026, 5:36 a.m.