Triple
T16128813
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Wiltshire |
E391339
|
entity |
| Predicate | hasNumberOfMPsReturned |
P82981
|
FINISHED |
| Object | 1 |
—
|
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: 1 | Statement: [North Wiltshire, hasNumberOfMPsReturned, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNumberOfMPsReturned Context triple: [North Wiltshire, hasNumberOfMPsReturned, 1]
-
A.
hasNumberOfMPs
chosen
Indicates the relationship that specifies how many members of parliament (MPs) are associated with a given entity.
-
B.
hasNumberOfMSPs
Indicates the relationship specifying how many managed service providers (MSPs) are associated with or involved in a given entity or context.
-
C.
hasNumberOfConstituencies
Indicates the specific count of constituencies associated with an entity.
-
D.
hasNumberOfDeputies
Indicates the specific count of deputies associated with or assigned to an entity.
-
E.
hasElectorate
Indicates that a political representative, office, or governing body is associated with and serves a specific group of voters or electoral district.
- 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_69d87f1bb0988190b490d273dbf3fd03 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e20206a6f08190aa648d2bb11e7878 |
completed | April 17, 2026, 9:48 a.m. |
| PD | Predicate disambiguation | batch_69e1828518c48190a8ef3aaa46a1f639 |
completed | April 17, 2026, 12:44 a.m. |
Created at: April 10, 2026, 5:01 a.m.