Triple
T6132480
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alta Ski Area |
E136751
|
entity |
| Predicate | snowboardersAllowed |
P69353
|
FINISHED |
| Object | false |
—
|
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: false | Statement: [Alta Ski Area, snowboardersAllowed, false]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: snowboardersAllowed Context triple: [Alta Ski Area, snowboardersAllowed, false]
-
A.
snowboardVenue
Indicates the location or venue where snowboarding takes place or is held.
-
B.
hasSnowPark
Indicates that a location or facility includes or is equipped with a designated snow park area.
-
C.
boardersPercentage
Indicates the proportion of individuals or entities that are boarders relative to a specified total population or group.
-
D.
hasSkiableArea
Indicates that an entity possesses an area of terrain that can be used for skiing.
-
E.
hasSkiPatrol
Indicates that an entity is served or overseen by a ski patrol responsible for safety and emergency response on the slopes.
- 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_69c008a0a37c81908e5b4f879158afb3 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05c509848819089a2b2b58744bc25 |
completed | March 22, 2026, 9:17 p.m. |
| PD | Predicate disambiguation | batch_69c055f19b0c81908be34a00ab218723 |
completed | March 22, 2026, 8:49 p.m. |
| PDg | Predicate description generation | batch_69c056c87340819088003f427706ebf8 |
completed | March 22, 2026, 8:53 p.m. |
Created at: March 22, 2026, 4:15 p.m.