Triple
T27874211
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wyre Forest (UK Parliament constituency) |
E704882
|
entity |
| Predicate | issueAssociatedWith |
P29037
|
FINISHED |
| Object | Kidderminster Hospital downgrading controversy |
—
|
NE NERFINISHED |
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: Kidderminster Hospital downgrading controversy | Statement: [Wyre Forest (UK Parliament constituency), issueAssociatedWith, Kidderminster Hospital downgrading controversy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: issueAssociatedWith Context triple: [Wyre Forest (UK Parliament constituency), issueAssociatedWith, Kidderminster Hospital downgrading controversy]
-
A.
involvesIssue
chosen
Indicates that an action, event, or entity is related to, concerns, or includes a particular issue.
-
B.
issueType
Indicates the specific category or classification assigned to an issue within a tracking or management context.
-
C.
associatedSin
Indicates a relationship where one entity is linked or connected to a particular sin or wrongful act.
-
D.
underlyingIssue
Indicates that one situation, problem, or condition is the fundamental cause or root problem behind another.
-
E.
issueIncludes
Indicates that an issue or problem encompasses, contains, or involves a specified element, component, or sub-issue as part of its scope.
- 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_69ef84111bb4819084298f994b31c62f |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69f6afebd7ec8190ab696f363d84abf0 |
completed | May 3, 2026, 2:16 a.m. |
| PD | Predicate disambiguation | batch_69f6aca204148190850a3dc325bc07b7 |
completed | May 3, 2026, 2:02 a.m. |
Created at: April 27, 2026, 6:26 p.m.