Triple
T13683925
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 58th Parliament of the United Kingdom |
E328070
|
entity |
| Predicate | hasChamberNumberOfMembers |
P82981
|
FINISHED |
| Object | House of Commons: 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: House of Commons: 650 | Statement: [58th Parliament of the United Kingdom, hasChamberNumberOfMembers, House of Commons: 650]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasChamberNumberOfMembers Context triple: [58th Parliament of the United Kingdom, hasChamberNumberOfMembers, House of Commons: 650]
-
A.
hasChambersFor
Indicates that one entity contains or provides designated chambers or compartments intended for use by another entity.
-
B.
hasNumberOfDeputies
Indicates the specific count of deputies associated with or assigned to an entity.
-
C.
hasNumberOfMPs
chosen
Indicates the relationship that specifies how many members of parliament (MPs) are associated with a given entity.
-
D.
hasPlenaryChamber
Indicates that an institution or governing body possesses a designated plenary chamber where all members can meet and deliberate together.
-
E.
numberOfCommitteeMembers
Indicates the total count of individuals who are members of a given committee.
- 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_69d8076f1fa8819094664a59b55010df |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc66f8acc8190b2a82b722930b995 |
completed | April 12, 2026, 4:21 p.m. |
| PD | Predicate disambiguation | batch_69dbbe9059488190a8113177c83e1481 |
completed | April 12, 2026, 3:47 p.m. |
Created at: April 9, 2026, 9:53 p.m.