Triple
T13722147
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 57th Parliament of the United Kingdom |
E329062
|
entity |
| Predicate | numberOfCommonsMembers |
P5591
|
FINISHED |
| Object | 650 |
—
|
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: 650 | Statement: [57th Parliament of the United Kingdom, numberOfCommonsMembers, 650]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfCommonsMembers Context triple: [57th Parliament of the United Kingdom, numberOfCommonsMembers, 650]
-
A.
numberOfCommonsSeats
chosen
Indicates the number of seats an entity holds or is allocated in the House of Commons.
-
B.
numberOfKnownMembers
Indicates the count of members within a group or set whose identities are known or have been explicitly determined.
-
C.
numberOfMembersDeterminedBy
Indicates that the quantity of members in one entity is defined or constrained by another entity or factor.
-
D.
numberOfCommonUseCharacters
Indicates the count of characters that are shared in common between two entities’ representations or strings.
-
E.
numberOfMembersReturned
Indicates the quantity of members that are provided or yielded as a result of an operation or query.
- 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_69d80770b9bc81909f70c8c317d53cff |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69de01f3b46481909ceedfa78e9ca92b |
completed | April 14, 2026, 8:59 a.m. |
| PD | Predicate disambiguation | batch_69dbbe92d77c81908e0244cffb7f78c5 |
completed | April 12, 2026, 3:47 p.m. |
Created at: April 9, 2026, 9:55 p.m.