Triple
T4068192
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Witney (UK Parliament constituency) |
E86378
|
entity |
| Predicate | DavidCameronResignedAsMP |
P14473
|
FINISHED |
| Object | 2016 |
—
|
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: 2016 | Statement: [Witney (UK Parliament constituency), DavidCameronResignedAsMP, 2016]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: DavidCameronResignedAsMP Context triple: [Witney (UK Parliament constituency), DavidCameronResignedAsMP, 2016]
-
A.
ledToPrimeMinisterResignation
Indicates that one event or action caused or significantly contributed to the resignation of a prime minister.
-
B.
leaderOfLabourParty
Indicates that one entity serves as the leader of the Labour Party organization.
-
C.
leaderOfConservativeParty
Indicates that one entity serves as the leader of a conservative political party associated with the other entity.
-
D.
hasBritishPrimeMinisterParticipant
Indicates that a given event, activity, or situation involves a person serving as the British Prime Minister as a participant.
-
E.
hasFormerMP
chosen
Indicates that an entity previously served as a Member of Parliament for another entity (such as a constituency, party, or legislative body), but no longer holds that position.
- 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_69aed93c69208190a4efac0efe3cd69b |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefbf8f33c8190a6afca1830f35485 |
completed | March 9, 2026, 4:57 p.m. |
| PD | Predicate disambiguation | batch_69aef9061d2481908307cafc9e9b32c0 |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:38 p.m.