Triple
T28057943
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Church of St Bartholomew, Ubley |
E709019
|
entity |
| Predicate | towerFeatures |
P57218
|
FINISHED |
| Object | diagonal buttresses |
—
|
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: diagonal buttresses | Statement: [Church of St Bartholomew, Ubley, towerFeatures, diagonal buttresses]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: towerFeatures Context triple: [Church of St Bartholomew, Ubley, towerFeatures, diagonal buttresses]
-
A.
towerCharacteristic
chosen
Indicates that a specified characteristic or feature is attributed to a tower.
-
B.
towerAttachment
Indicates that one entity is physically attached to or structurally connected with a tower.
-
C.
towerType
Indicates the specific kind or classification of a tower that an entity is associated with or represents.
-
D.
towerShape
Indicates that one entity has the physical form or outline of a tower in relation to another entity.
-
E.
towerStyle
Indicates the architectural or design style that characterizes a given tower.
- 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_69ef9b6eb6d88190a3fea236eb0f7bed |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_69f63fde4030819089d26a7e7c9d713e |
completed | May 2, 2026, 6:18 p.m. |
| PD | Predicate disambiguation | batch_69f63c6a8474819091b8c6fe98e3862d |
completed | May 2, 2026, 6:03 p.m. |
Created at: April 27, 2026, 8:37 p.m.