Triple
T20725480
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bridgnorth Castle |
E509423
|
entity |
| Predicate | causeOfLeaningTower |
P26452
|
FINISHED |
| Object | explosive demolition during English Civil War |
—
|
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: explosive demolition during English Civil War | Statement: [Bridgnorth Castle, causeOfLeaningTower, explosive demolition during English Civil War]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: causeOfLeaningTower Context triple: [Bridgnorth Castle, causeOfLeaningTower, explosive demolition during English Civil War]
-
A.
towerInclination
Indicates the degree and direction to which a tower deviates or leans away from a perfectly vertical alignment.
-
B.
causeOfDownfall
chosen
Indicates a factor, event, or agent that brings about the failure, ruin, or collapse of someone or something.
-
C.
towerCollapsedIn
Indicates that a tower underwent structural failure and collapsed at or within a specified location or context.
-
D.
hasBellTowerHeightSignificance
Indicates that the height of a bell tower holds particular importance or relevance in a given context or relationship.
-
E.
causeOfMausoleum
Indicates that one entity is the reason for or origin of the construction or existence of a particular mausoleum.
- 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.