Triple
T149105
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | London Assembly |
E3392
|
entity |
| Predicate | numberOfConstituencyMembers |
P4273
|
FINISHED |
| Object | 14 |
—
|
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: 14 | Statement: [London Assembly, numberOfConstituencyMembers, 14]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfConstituencyMembers Context triple: [London Assembly, numberOfConstituencyMembers, 14]
-
A.
hasNumberOfCouncillors
Indicates the relationship that specifies how many councillors are associated with a given entity.
-
B.
numberOfRepresentatives
chosen
Indicates the quantity of representatives associated with a given entity or unit.
-
C.
parliamentaryConstituency
Indicates that one entity serves as the parliamentary constituency to which the other entity (such as a place or representative) is formally linked or assigned.
-
D.
numberOfColoniesRepresented
Indicates the count of distinct colonies that are represented or involved in relation to a given entity or context.
-
E.
hasMajorityPartyMembers
Indicates that a group, body, or organization contains more members from a particular political party than from any other party, giving that party majority representation.
- 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_69a252868de4819080e21c9938bfe8b6 |
completed | Feb. 28, 2026, 2:27 a.m. |
| NER | Named-entity recognition | batch_69a2580ca15481909fa3e87d804a1b23 |
completed | Feb. 28, 2026, 2:50 a.m. |
| PD | Predicate disambiguation | batch_69a256599db08190a7b000b381d32ec4 |
completed | Feb. 28, 2026, 2:43 a.m. |
Created at: Feb. 28, 2026, 2:31 a.m.