Triple
T20725481
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bridgnorth Castle |
E509423
|
entity |
| Predicate | towerLeaningAngleApprox |
P103387
|
FINISHED |
| Object | about 15 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: about 15 degrees from vertical | Statement: [Bridgnorth Castle, towerLeaningAngleApprox, about 15 degrees from vertical]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: towerLeaningAngleApprox Context triple: [Bridgnorth Castle, towerLeaningAngleApprox, about 15 degrees from vertical]
-
A.
towerInclination
Indicates the degree and direction to which a tower deviates or leans away from a perfectly vertical alignment.
-
B.
towerName
Indicates the specific name assigned to a tower in the relationship.
-
C.
towerLocation
Indicates that a tower is located at, or associated with, a specific place or geographic location.
-
D.
inclinationAngle
Indicates the angle at which one object or reference frame is tilted or inclined relative to another specified baseline or plane.
-
E.
leanAngle
chosen
Indicates the degree to which an entity is tilted or inclined away from a reference upright position.
- 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_69e0b4c4cc648190b45fda6e2b20af56 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c1e7aabc819084f9e9fd45e877fd |
completed | April 21, 2026, 12:16 a.m. |
| PD | Predicate disambiguation | batch_69e5c04b31248190b9b9d91b5cb854e3 |
completed | April 20, 2026, 5:57 a.m. |
Created at: April 16, 2026, 12:29 p.m.