Triple
T3189176
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mad River Mountain |
E66775
|
entity |
| Predicate | hasTopElevation |
P46534
|
FINISHED |
| Object | 1460 ft |
—
|
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: 1460 ft | Statement: [Mad River Mountain, hasTopElevation, 1460 ft]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTopElevation Context triple: [Mad River Mountain, hasTopElevation, 1460 ft]
-
A.
hasAverageElevation
Indicates that an entity is characterized by a specific mean height above a defined reference level, typically sea level.
-
B.
elevationType
Indicates the kind or classification of elevation associated with an entity, such as how its height or altitude is characterized.
-
C.
hasHighestPointType
Indicates that the highest point of an entity is of a specified type or category.
-
D.
elevationBy
Indicates a relationship where one entity raises, increases, or enhances the level, status, or intensity of another entity.
-
E.
elevationAtBase
Indicates the height or altitude measured at the base or lowest point of an object or feature relative to a reference level.
- 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_69ad8587c1bc8190a2595f2c22ee1001 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada6e491508190bc881feaee3889bc |
completed | March 8, 2026, 4:42 p.m. |
| PD | Predicate disambiguation | batch_69ad9e04290481909092ddfbe6fdaabc |
completed | March 8, 2026, 4:04 p.m. |
| PDg | Predicate description generation | batch_69ada148e9108190b363dd0f1a94ac8e |
completed | March 8, 2026, 4:18 p.m. |
Created at: March 8, 2026, 3:06 p.m.