Triple
T4717563
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Montgomeryshire and Glyndŵr |
E104683
|
entity |
| Predicate | boundaryChangeReason |
P5019
|
FINISHED |
| Object | constituency boundary review |
—
|
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: constituency boundary review | Statement: [Montgomeryshire and Glyndŵr, boundaryChangeReason, constituency boundary review]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: boundaryChangeReason Context triple: [Montgomeryshire and Glyndŵr, boundaryChangeReason, constituency boundary review]
-
A.
borderChange
Indicates a change in the boundaries between geographic or political entities, such as when borders are redrawn, expanded, reduced, or otherwise altered over time.
-
B.
changeReason
chosen
Indicates the reason or justification for a modification or change made to an entity or its state.
-
C.
reasonForChange
Indicates that one entity serves as the cause, justification, or motivation for a modification or change in another entity or state.
-
D.
positionChange
Indicates a change in an entity’s spatial or positional state from one location or configuration to another.
-
E.
alignmentChange
Indicates a change in the moral, ethical, or factional stance of an entity relative to its previous alignment.
- 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_69bd43ec4a348190bc41afae43375e71 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd680beb508190b3d74e20e1c64405 |
completed | March 20, 2026, 3:30 p.m. |
| PD | Predicate disambiguation | batch_69bd621ddcd88190903288566f5e5dab |
completed | March 20, 2026, 3:05 p.m. |
Created at: March 20, 2026, 1:18 p.m.