Triple
T9336360
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leaning Tower of Toruń |
E224651
|
entity |
| Predicate | wallInclinationAngle |
P64876
|
FINISHED |
| Object | several degrees from vertical |
—
|
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: several degrees from vertical | Statement: [Leaning Tower of Toruń, wallInclinationAngle, several degrees from vertical]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wallInclinationAngle Context triple: [Leaning Tower of Toruń, wallInclinationAngle, several degrees from vertical]
-
A.
angleBetweenWalls
Indicates the measure of the geometric angle formed at the intersection of two walls.
-
B.
towerInclination
Indicates the degree and direction to which a tower deviates or leans away from a perfectly vertical alignment.
-
C.
pyramidAngle
Indicates that there is a specified angular relationship between elements (such as faces, edges, or apex and base) of a pyramid-shaped structure.
-
D.
wallFeature
Indicates that one entity functions as a structural or design feature associated with a wall of another entity.
-
E.
angleProperty
chosen
Indicates that a relationship specifies a particular geometric or quantitative characteristic (such as measure, type, or orientation) of an angle between entities.
- 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_69ca84286fcc81909f6e7fd7a7e862a2 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd37f161e481908e23c1ec7e5fcf97 |
completed | April 1, 2026, 3:21 p.m. |
| PD | Predicate disambiguation | batch_69cc7a66aef08190b8d668cff5b04f5f |
completed | April 1, 2026, 1:52 a.m. |
Created at: March 30, 2026, 7:40 p.m.