Triple
T25077705
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Timberline Highway |
E628096
|
entity |
| Predicate | accessesElevationZone |
P78464
|
FINISHED |
| Object | timberline zone of Mount Hood |
—
|
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: timberline zone of Mount Hood | Statement: [Timberline Highway, accessesElevationZone, timberline zone of Mount Hood]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: accessesElevationZone Context triple: [Timberline Highway, accessesElevationZone, timberline zone of Mount Hood]
-
A.
hasEntranceElevation
Indicates the elevation at which an entity’s entrance is located, typically measured relative to a reference level such as sea level or ground level.
-
B.
boardingElevation
Indicates the elevation at which boarding occurs for a vehicle or transport facility, typically relative to a standard reference level.
-
C.
hasElevationFeature
Indicates that one entity possesses or is characterized by a particular elevation-related feature or attribute, such as height, altitude, or vertical relief.
-
D.
hasTypicalElevationRelativeTo
Indicates the usual height or altitude of one entity in comparison to a referenced baseline or other entity.
-
E.
accessesRegion
chosen
Indicates that one entity reaches, uses, or interacts with a specific geographic or logical region.
- 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_69e2ff2e73f881909992bf3eda5c25cb |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f55e519978819087a1676564a74630 |
completed | May 2, 2026, 2:15 a.m. |
| PD | Predicate disambiguation | batch_69f4a0edd10c81908a052ab864d57c54 |
completed | May 1, 2026, 12:47 p.m. |
Created at: April 18, 2026, 6:21 a.m.