Triple
T27458007
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Snowshoe Mountain |
E692654
|
entity |
| Predicate | numberOfTerrainParks |
P131644
|
FINISHED |
| Object | multiple |
—
|
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: multiple | Statement: [Snowshoe Mountain, numberOfTerrainParks, multiple]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfTerrainParks Context triple: [Snowshoe Mountain, numberOfTerrainParks, multiple]
-
A.
hasTerrainPark
Indicates that a location or facility includes a designated terrain park area for activities such as skiing or snowboarding.
-
B.
hasNumberOfParks
chosen
Indicates the quantity of parks associated with a given entity.
-
C.
hasNumberOfSkiLifts
Indicates the relationship that specifies how many ski lifts are associated with a given entity.
-
D.
numberOfSkiRuns
Indicates the total count of ski runs associated with a given entity.
-
E.
numberOfScenicSpots
Indicates the quantity of scenic spots associated with a given entity.
- 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_69ef5207903881909427745cda05d27a |
completed | April 27, 2026, 12:09 p.m. |
| NER | Named-entity recognition | batch_69fed48d8e148190a99c0aea29f8a3ee |
completed | May 9, 2026, 6:30 a.m. |
| PD | Predicate disambiguation | batch_69fed3c82a24819095e614e31ac0307f |
completed | May 9, 2026, 6:27 a.m. |
Created at: April 27, 2026, 12:49 p.m.