Triple
T6770069
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carwyn Jones |
E155019
|
entity |
| Predicate | dateOfRetirementFromOffice |
P7188
|
FINISHED |
| Object | 2018-12-12 |
—
|
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: 2018-12-12 | Statement: [Carwyn Jones, dateOfRetirementFromOffice, 2018-12-12]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dateOfRetirementFromOffice Context triple: [Carwyn Jones, dateOfRetirementFromOffice, 2018-12-12]
-
A.
retirementDate
chosen
Indicates the date on which an entity stops its active role or service, typically marking the end of its professional or operational period.
-
B.
retiredFrom
Indicates that an entity has permanently stopped working for or being active in a specified organization, role, or activity.
-
C.
announcedRetirementFrom
Indicates that an entity has publicly declared its intention to retire from a particular role, position, organization, or activity.
-
D.
officeholderEndTime
Indicates the time or date at which a person’s term in a particular office or position comes to an end.
-
E.
hasBeenInGovernmentUntil
Indicates that an entity held a government position continuously up to a specified end time or date.
- 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_69c68812ef7c819099369f51febb725c |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d2347fb48190a44c03317b5ecfd7 |
completed | March 27, 2026, 6:53 p.m. |
| PD | Predicate disambiguation | batch_69c6d094105881909c5806eb4afa6306 |
completed | March 27, 2026, 6:46 p.m. |
Created at: March 27, 2026, 2:13 p.m.