Triple
T466291
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crown dependencies |
E8453
|
entity |
| Predicate | ultimateResponsibilityFor |
P636
|
FINISHED |
| Object | good governance |
—
|
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: good governance | Statement: [Crown dependencies, ultimateResponsibilityFor, good governance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ultimateResponsibilityFor Context triple: [Crown dependencies, ultimateResponsibilityFor, good governance]
-
A.
responsibleFor
chosen
Indicates that one entity has a duty, obligation, or role to manage, oversee, or be accountable for another entity or outcome.
-
B.
establishesLiabilityFor
Indicates that one party is held legally responsible or accountable for a particular act, omission, or outcome.
-
C.
leadingOrgan
Indicates that one entity serves as the primary or most responsible organizing body or authority for another entity or activity.
-
D.
minimizesRoleOf
Indicates that one entity reduces, downplays, or diminishes the importance, influence, or contribution of another entity’s role.
-
E.
appointedFor
Indicates that an entity has been officially assigned or designated to perform a specific role, task, or function for another entity or purpose.
- 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_69a2e7f3aeb48190a19453e3a043f486 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2efd6ec708190b78c7f22deb3ca64 |
completed | Feb. 28, 2026, 1:38 p.m. |
| PD | Predicate disambiguation | batch_69a2edea1acc81908a72d9f4c43438ea |
completed | Feb. 28, 2026, 1:30 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.