Triple
T2457988
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leader of the Conservative Party (UK) |
E54465
|
entity |
| Predicate | seatRequirement |
P15391
|
FINISHED |
| Object | normally must hold a seat in the House of Commons |
—
|
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: normally must hold a seat in the House of Commons | Statement: [Leader of the Conservative Party (UK), seatRequirement, normally must hold a seat in the House of Commons]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seatRequirement Context triple: [Leader of the Conservative Party (UK), seatRequirement, normally must hold a seat in the House of Commons]
-
A.
hasSeating
Indicates that one entity provides or contains seating capacity or seating arrangements for another entity.
-
B.
hasSeat
Indicates that one entity possesses, provides, or includes a seat for another entity.
-
C.
seatCategory
Indicates the classification or type of a seat (e.g., by comfort level, price tier, or section) assigned to an entity.
-
D.
seatSelectionPolicy
Indicates the rules or constraints governing how seats are chosen or assigned in a given context.
-
E.
hasSeatAt
chosen
Indicates that an entity occupies or holds a place, position, or membership within a specific group, body, or location.
- 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_69ab49dee84c819096b50a0049c347ac |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd49c5aa081909ab4f726a458b77f |
completed | March 7, 2026, 7:32 a.m. |
| PD | Predicate disambiguation | batch_69abd0b199488190aa381b36593ae1ac |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:44 p.m.