Triple
T29753086
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mad River Glen |
E752953
|
entity |
| Predicate | trailCharacter |
P158457
|
FINISHED |
| Object | natural snow surfaces |
—
|
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: natural snow surfaces | Statement: [Mad River Glen, trailCharacter, natural snow surfaces]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: trailCharacter Context triple: [Mad River Glen, trailCharacter, natural snow surfaces]
-
A.
trackCharacter
Indicates that one entity follows, monitors, or keeps a record of another entity’s actions, state, or progression over time.
-
B.
trailOrientation
Indicates the directional alignment or facing direction of a trail relative to a reference frame or compass directions.
-
C.
trailName
Indicates the name assigned to a specific trail or path in the relationship.
-
D.
trailFeatureType
chosen
Indicates the specific kind or category of feature associated with a trail (such as surface, structure, or notable characteristic).
-
E.
trailBehavior
Indicates how an entity behaves, moves, or leaves traces along a path or trajectory over time.
- 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.