Triple
T14722435
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Palm Springs Aerial Tramway |
E345848
|
entity |
| Predicate | elevationLowerStation |
P52353
|
FINISHED |
| Object | approximately 2,643 feet |
—
|
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: approximately 2,643 feet | Statement: [Palm Springs Aerial Tramway, elevationLowerStation, approximately 2,643 feet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: elevationLowerStation Context triple: [Palm Springs Aerial Tramway, elevationLowerStation, approximately 2,643 feet]
-
A.
hasLowerStation
Indicates that one entity occupies a lower rank, status, or position in a hierarchy relative to another entity.
-
B.
upperStationElevation
Indicates the elevation or height above a reference level (e.g., sea level) of the upper station in a system or structure.
-
C.
elevationLowerThan
Indicates that the elevation of one entity is lower than the elevation of another entity.
-
D.
elevationMinApprox
Indicates an approximate value for the minimum elevation associated with an entity or location.
-
E.
elevationMinFeet
chosen
Indicates the minimum elevation of an entity or location, measured in feet.
- 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_69d822e5911c8190ba589f957dbd9ba7 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec25d56fc8190871873ca55d49272 |
completed | April 14, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69de657e174481909da0437556334a04 |
completed | April 14, 2026, 4:04 p.m. |
Created at: April 10, 2026, 1:29 a.m.