Triple
T18625418
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 37th Parliament of the United Kingdom |
E455270
|
entity |
| Predicate | numberOfMembersInHouseOfCommons |
P45157
|
FINISHED |
| Object | 615 |
—
|
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: 615 | Statement: [37th Parliament of the United Kingdom, numberOfMembersInHouseOfCommons, 615]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfMembersInHouseOfCommons Context triple: [37th Parliament of the United Kingdom, numberOfMembersInHouseOfCommons, 615]
-
A.
numberOfSeatsInHouseOfCommons
Indicates the total count of seats allocated in the House of Commons.
-
B.
numberOfMembersUpperHouse
Indicates the total count of individuals serving as members in the upper house of a legislative body.
-
C.
numberOfHousesInParliament
Indicates the count of distinct legislative chambers that make up a country's parliament.
-
D.
numberOfCommitteeMembers
Indicates the total count of individuals who are members of a given committee.
-
E.
numberOfMembersInHouse
chosen
Indicates the total count of members that belong to a particular house.
- 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_69d8d38cc7948190a55ea64e5638994e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e54f039b408190b51fe770a4c530ec |
completed | April 19, 2026, 9:54 p.m. |
| PD | Predicate disambiguation | batch_69e478d4a7948190a4bb9223bb5dddfc |
completed | April 19, 2026, 6:40 a.m. |
Created at: April 10, 2026, 11:46 a.m.