Triple
T30828676
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deputy Chairman of the Conservative Party |
E785148
|
entity |
| Predicate | hasMultipleIncumbentsPossible |
P80509
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Deputy Chairman of the Conservative Party, hasMultipleIncumbentsPossible, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMultipleIncumbentsPossible Context triple: [Deputy Chairman of the Conservative Party, hasMultipleIncumbentsPossible, true]
-
A.
hasMultipleIncumbents
chosen
Indicates that a given position, role, or office is simultaneously held by more than one incumbent.
-
B.
numberOfIncumbents
Indicates the count of entities currently holding a particular position, role, or status at a given time.
-
C.
hasNoCurrentIncumbent
Indicates that a position, role, or office currently has no person or entity occupying or holding it.
-
D.
hasHadIncumbent
Indicates that an entity has previously served as the incumbent (current holder) of a particular position or role.
-
E.
hasIncumbentAdvantage
Indicates that the current officeholder or position-holder enjoys a competitive or structural advantage over challengers in an election or selection process.
- 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_69f224b6642481909e8d701de2cd1a53 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fcda3699948190adb57625bae08091 |
completed | May 7, 2026, 6:30 p.m. |
| PD | Predicate disambiguation | batch_69fcd8fd16d08190b0aca6e19a632e99 |
completed | May 7, 2026, 6:25 p.m. |
Created at: April 29, 2026, 8:44 p.m.