Triple
T2642625
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2005 United Kingdom general election |
E62906
|
entity |
| Predicate | totalCommonsSeats |
P5591
|
FINISHED |
| Object | 646 |
—
|
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: 646 | Statement: [2005 United Kingdom general election, totalCommonsSeats, 646]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: totalCommonsSeats Context triple: [2005 United Kingdom general election, totalCommonsSeats, 646]
-
A.
numberOfCommonsSeats
chosen
Indicates the number of seats an entity holds or is allocated in the House of Commons.
-
B.
hasGeneralSeats
Indicates that an entity possesses or includes general (non-reserved) seats in a seating or allocation context.
-
C.
seatsComparedToMembers
Indicates the relationship between the number of seats available and the number of members, typically expressing how the seat count compares to membership size.
-
D.
hasChairCount
Indicates the number of chairs associated with a given entity.
-
E.
numberOfSittings
Indicates the total count of distinct sittings or sessions associated with an entity or event.
- 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_69ab4c3f2dcc819082df80f5e032f690 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abd8ff34988190ba9d69ce9d77c71d |
completed | March 7, 2026, 7:51 a.m. |
| PD | Predicate disambiguation | batch_69abd814298c8190952f05aed43f6bb8 |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:53 p.m.