Triple
T18702647
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abbey National |
E457289
|
entity |
| Predicate | privatisationStatus |
P132352
|
FINISHED |
| Object | demutualised |
—
|
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: demutualised | Statement: [Abbey National, privatisationStatus, demutualised]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: privatisationStatus Context triple: [Abbey National, privatisationStatus, demutualised]
-
A.
privatisationContext
Indicates the context, conditions, or circumstances under which a privatisation process or action takes place.
-
B.
privatizedOn
Indicates the date or point in time when an entity transitioned from public or state ownership/control to private ownership/control.
-
C.
privatizationMethod
Indicates the specific process or mechanism by which ownership or control of a public asset, service, or enterprise is transferred to private entities.
-
D.
privatizedInto
Indicates that a previously public or state-owned entity has been transferred into private ownership or control, typically becoming a private company or organization.
-
E.
publicSectorStatus
Indicates whether an entity is part of, controlled by, or associated with the public sector (e.g., government or state-owned institutions).
- F. None of above. chosen
Provenance (4 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_69d8d392aad081909fe31aa03e6e97d1 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e56714d0588190ac050356bc2784fd |
completed | April 19, 2026, 11:36 p.m. |
| PD | Predicate disambiguation | batch_69e478de85088190ba5f005f1d39f587 |
completed | April 19, 2026, 6:40 a.m. |
| PDg | Predicate description generation | batch_69e484133ee48190a80f1889d79f34c9 |
completed | April 19, 2026, 7:28 a.m. |
Created at: April 10, 2026, 11:49 a.m.