Triple
T21646413
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mittelallalin |
E534229
|
entity |
| Predicate | revolvingRestaurantAltitude |
P58689
|
FINISHED |
| Object | approximately 3500 metres |
—
|
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 3500 metres | Statement: [Mittelallalin, revolvingRestaurantAltitude, approximately 3500 metres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: revolvingRestaurantAltitude Context triple: [Mittelallalin, revolvingRestaurantAltitude, approximately 3500 metres]
-
A.
revolvingRestaurantHeight
chosen
Indicates the height at which a revolving restaurant is situated, typically measured from ground level or sea level.
-
B.
hasRevolvingRestaurant
Indicates that one entity features or contains a restaurant that rotates around a central axis, typically providing a 360-degree view.
-
C.
locatedAtAltitude
Indicates that an entity exists or is positioned at a specific height above a reference level, typically sea level.
-
D.
rideHeight
Indicates the vertical distance between a vehicle’s chassis and the ground, defining how high it sits relative to the surface.
-
E.
towerObservationDeck
Indicates that an observation deck is located on or is part of a tower.
- 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_69e0c466aec88190ba39c7543dbc8ba2 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef591194dc8190a57b28eaddeceff5 |
completed | April 27, 2026, 12:39 p.m. |
| PD | Predicate disambiguation | batch_69e696826c3c81909270791e79760937 |
completed | April 20, 2026, 9:11 p.m. |
Created at: April 16, 2026, 6:35 p.m.