Triple
T16186677
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United Kingdom general election, 1966 |
E392821
|
entity |
| Predicate | seatsInCommons |
P5591
|
FINISHED |
| Object | 630 |
—
|
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: 630 | Statement: [United Kingdom general election, 1966, seatsInCommons, 630]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seatsInCommons Context triple: [United Kingdom general election, 1966, seatsInCommons, 630]
-
A.
seatSharedWith
Indicates that one entity shares a seat or seating space with another entity at the same time.
-
B.
numberOfCommonsSeats
chosen
Indicates the number of seats an entity holds or is allocated in the House of Commons.
-
C.
alsoSitsWith
Indicates that one entity sits together with another entity, sharing the same seating context or location.
-
D.
hasSeatingInCredits
Indicates that an entity is credited for providing seating or seating-related services in the credits of a production or event.
-
E.
accompaniesTo
Indicates that one entity goes along with or escorts another entity to a specific destination 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_69d87f1e49ac8190a311b54d32990576 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e22061f47481909ededd5eed40f5a4 |
completed | April 17, 2026, 11:58 a.m. |
| PD | Predicate disambiguation | batch_69e219e11f6081909106b1240a17fd37 |
completed | April 17, 2026, 11:30 a.m. |
Created at: April 10, 2026, 5:02 a.m.