Triple
T15197265
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Church of St Mary and All Saints, Chesterfield |
E363167
|
entity |
| Predicate | hasLeaningAngle |
P103387
|
FINISHED |
| Object | noticeably off-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: noticeably off-vertical | Statement: [Church of St Mary and All Saints, Chesterfield, hasLeaningAngle, noticeably off-vertical]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLeaningAngle Context triple: [Church of St Mary and All Saints, Chesterfield, hasLeaningAngle, noticeably off-vertical]
-
A.
leanAngle
chosen
Indicates the degree to which an entity is tilted or inclined away from a reference upright position.
-
B.
tiltingCapability
Indicates the ability of one entity to tilt or be tilted relative to another or to a reference orientation.
-
C.
tiltedRelativeTo
Indicates that one entity is oriented at an angle with respect to another, rather than being parallel or perpendicular.
-
D.
hasIncline
Indicates that one entity possesses or exhibits a slope, tilt, or upward/downward angle relative to another reference.
-
E.
tiltingMechanism
Indicates a relationship where one entity serves as a mechanism that enables another entity to tilt or be tilted.
- 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_69d85a0b78bc8190b6e5ad51a2c4cfc5 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0067fcc788190abdc083d4eadeb36 |
completed | April 15, 2026, 9:43 p.m. |
| PD | Predicate disambiguation | batch_69deb97bd8bc8190b2ad4888f97cf963 |
completed | April 14, 2026, 10:02 p.m. |
Created at: April 10, 2026, 3:10 a.m.