Triple
T29515725
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Panorama Museum Bad Frankenhausen |
E748789
|
entity |
| Predicate | hasPanoramaHeight |
P9788
|
FINISHED |
| Object | about 14 meters |
—
|
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: about 14 meters | Statement: [Panorama Museum Bad Frankenhausen, hasPanoramaHeight, about 14 meters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPanoramaHeight Context triple: [Panorama Museum Bad Frankenhausen, hasPanoramaHeight, about 14 meters]
-
A.
hasPanoramicView
Indicates that something offers a wide, unobstructed view over a broad surrounding area.
-
B.
hasSummitPanorama
Indicates that a summit location offers a panoramic view or image captured from its highest point.
-
C.
hasHeight
chosen
Indicates that one entity possesses a specific vertical measurement or stature.
-
D.
hasPylonHeight
Indicates that an entity is associated with a specific height value of a pylon.
-
E.
hasCameraResolution
Indicates that an entity is associated with a specific camera resolution value or specification.
- 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_69f0bd461c208190bec20bbf24e02cc5 |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_69fd7fdafbe881908a31fcb407af2c34 |
completed | May 8, 2026, 6:16 a.m. |
| PD | Predicate disambiguation | batch_69fd7ef0ea908190b5d83f71565bdb1c |
completed | May 8, 2026, 6:13 a.m. |
Created at: April 28, 2026, 4:37 p.m.