Triple
T14997962
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Snowshoe |
E374008
|
entity |
| Predicate | hasSkiAreaNumberOfTerrainParks |
P18015
|
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, hasSkiAreaNumberOfTerrainParks, multiple]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSkiAreaNumberOfTerrainParks Context triple: [Snowshoe, hasSkiAreaNumberOfTerrainParks, multiple]
-
A.
hasTerrainPark
chosen
Indicates that a location or facility includes a designated terrain park area for activities such as skiing or snowboarding.
-
B.
hasSkiAreaSide
Indicates that something is located on or associated with a particular side or slope of a ski area.
-
C.
hasSnowPark
Indicates that a location or facility includes or is equipped with a designated snow park area.
-
D.
hasSkiLifts
Indicates that one location or facility is equipped with ski lifts that provide transportation for skiers or visitors.
-
E.
hasSkiTrails
Indicates that a location or facility includes one or more designated ski trails available for use.
- 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_69d85ccc84388190aa151e5173370c8d |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded71a5618819083ae96a79735ef98 |
completed | April 15, 2026, 12:08 a.m. |
| PD | Predicate disambiguation | batch_69de9a6169b48190a679609febd2d0e3 |
completed | April 14, 2026, 7:49 p.m. |
Created at: April 10, 2026, 2:54 a.m.