Triple
T24261911
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Welsh-speaking Wales |
E604726
|
entity |
| Predicate | hasPolicyRelevance |
P151317
|
FINISHED |
| Object | focus area for Welsh language planning |
—
|
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: focus area for Welsh language planning | Statement: [Welsh-speaking Wales, hasPolicyRelevance, focus area for Welsh language planning]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPolicyRelevance Context triple: [Welsh-speaking Wales, hasPolicyRelevance, focus area for Welsh language planning]
-
A.
hasPolicyInterestOf
chosen
Indicates that one entity holds or is associated with a specific policy interest belonging to or concerning another entity.
-
B.
hasNotablePolicy
Indicates that an entity possesses a policy that is distinguished, significant, or otherwise noteworthy in its context.
-
C.
hasManagementRelevance
Indicates that something is pertinent or significant to management activities, decisions, or responsibilities.
-
D.
hasPolicyGoal
Indicates that an entity is associated with, or aims to achieve, a specific policy objective or target.
-
E.
hasLegalRelevanceIn
Indicates that something is legally significant, applicable, or has consequences within a specified legal context, case, or jurisdiction.
- 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_69e29544c29c8190b023606eafe5d36a |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f28c6727388190862e3ce09c372c70 |
completed | April 29, 2026, 10:55 p.m. |
| PD | Predicate disambiguation | batch_69f1c450aa508190bc9d372a5f6ee47a |
completed | April 29, 2026, 8:41 a.m. |
Created at: April 18, 2026, 12:06 a.m.