Triple
T490164
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ulm |
E9969
|
entity |
| Predicate | UlmMinsterHeight |
P14074
|
FINISHED |
| Object | 161.5 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: 161.5 meters | Statement: [Ulm, UlmMinsterHeight, 161.5 meters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: UlmMinsterHeight Context triple: [Ulm, UlmMinsterHeight, 161.5 meters]
-
A.
tallestBuildingIn
Indicates that one entity is the tallest building located within the area or region specified by the other entity.
-
B.
cathedral
Indicates that an entity is a cathedral, i.e., it has the status or function of a principal church, typically one that is the seat of a bishop.
-
C.
hasBellTower
Indicates that one entity (typically a building or structure) possesses or includes a bell tower as part of it.
-
D.
formerTallestFreeStandingStructureOnLand
Indicates that one entity was, at some time in the past, the tallest free-standing structure on land relative to the other entity or to all comparable structures.
-
E.
heightOfDome
Indicates the measured vertical extent or elevation of a dome structure from its base to its highest point.
- 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_69a2e802e2908190ab17c9479e0b6412 |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2f0e22a308190b04d12974fd08a38 |
completed | Feb. 28, 2026, 1:42 p.m. |
| PD | Predicate disambiguation | batch_69a2edf63fbc819090ea6ca11f39116a |
completed | Feb. 28, 2026, 1:30 p.m. |
| PDg | Predicate description generation | batch_69a2eebb2c908190960a4d0c014304cd |
completed | Feb. 28, 2026, 1:33 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.