Triple
T29753083
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mad River Glen |
E752953
|
entity |
| Predicate | amenitiesStyle |
P79291
|
FINISHED |
| Object | no-frills base area |
—
|
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: no-frills base area | Statement: [Mad River Glen, amenitiesStyle, no-frills base area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: amenitiesStyle Context triple: [Mad River Glen, amenitiesStyle, no-frills base area]
-
A.
accommodationStyle
Indicates the manner or type of lodging or housing arrangement provided or used in a given context.
-
B.
amenitiesInclude
chosen
Indicates that a place or facility provides or contains specific amenities as part of its features.
-
C.
interiorStyle
Indicates that one entity has a particular interior design style or aesthetic characterized by the other entity.
-
D.
typicalAmenity
Indicates that something is a common or characteristic amenity typically associated with a given entity or context.
-
E.
amenityLevel
Indicates the degree or quality of facilities, services, or conveniences provided in relation to something.
- 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_69f0d62c84cc8190846f80ae04fdf8ec |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f673c8c00881908596a9e9fca49436 |
completed | May 2, 2026, 9:59 p.m. |
| PD | Predicate disambiguation | batch_69f66ac1a4fc81909740d2e52fbe6970 |
completed | May 2, 2026, 9:21 p.m. |
Created at: April 28, 2026, 7:55 p.m.