Triple
T4763218
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cynon Valley (Senedd constituency) |
E105746
|
entity |
| Predicate | regionAdditionalMembersCount |
P51092
|
FINISHED |
| Object | 4 |
—
|
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: 4 | Statement: [Cynon Valley (Senedd constituency), regionAdditionalMembersCount, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regionAdditionalMembersCount Context triple: [Cynon Valley (Senedd constituency), regionAdditionalMembersCount, 4]
-
A.
numberOfRegionalMembers
chosen
Indicates the quantity of members associated with or belonging to a specific region within a given context.
-
B.
numberOfAssociateMembers
Indicates the total count of associate members linked to a given entity.
-
C.
additionalMembersAllowed
Indicates that more members are permitted to be added beyond those already included or initially specified.
-
D.
numberOfGroupMembers
Indicates the total count of individual members that belong to a specified group.
-
E.
numberOfKnownMembers
Indicates the count of members within a group or set whose identities are known or have been explicitly determined.
- 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_69bd43f14cac819081c7c69803648211 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd686ef1b08190ad60375592c9d6c0 |
completed | March 20, 2026, 3:31 p.m. |
| PD | Predicate disambiguation | batch_69bd622807f881908e4bcb14f7731bac |
completed | March 20, 2026, 3:05 p.m. |
Created at: March 20, 2026, 1:20 p.m.