Triple
T4771382
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heinrich-Hertz-Turm |
E105933
|
entity |
| Predicate | revolvingRestaurantHeight |
P58689
|
FINISHED |
| Object | 132 m |
—
|
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: 132 m | Statement: [Heinrich-Hertz-Turm, revolvingRestaurantHeight, 132 m]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: revolvingRestaurantHeight Context triple: [Heinrich-Hertz-Turm, revolvingRestaurantHeight, 132 m]
-
A.
hasRevolvingRestaurant
Indicates that one entity features or contains a restaurant that rotates around a central axis, typically providing a 360-degree view.
-
B.
heightOfDome
Indicates the measured vertical extent or elevation of a dome structure from its base to its highest point.
-
C.
atriumHeight
Indicates the vertical measurement of an atrium from its floor to its ceiling or highest point.
-
D.
heightWithPedestal
Indicates the total vertical measurement of an object including the height of its supporting pedestal.
-
E.
observationDeckHeight
Indicates the vertical distance of an observation deck above a reference level, typically the ground or sea 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_69bd43f226fc8190b867cc249c2a9042 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd655e5dcc8190a932be9b1baaffb2 |
completed | March 20, 2026, 3:18 p.m. |
| PD | Predicate disambiguation | batch_69bd6229d8448190a271719e5e30fd82 |
completed | March 20, 2026, 3:05 p.m. |
| PDg | Predicate description generation | batch_69bd6508e218819086a36236cfa4a249 |
completed | March 20, 2026, 3:17 p.m. |
Created at: March 20, 2026, 1:21 p.m.