Triple
T17300375
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coventry City Council |
E420023
|
entity |
| Predicate | councillorsPerWard |
P2433
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [Coventry City Council, councillorsPerWard, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: councillorsPerWard Context triple: [Coventry City Council, councillorsPerWard, 3]
-
A.
hasNumberOfCouncillors
chosen
Indicates the relationship that specifies how many councillors are associated with a given entity.
-
B.
numberOfWards
Indicates the quantitative relationship specifying how many wards are associated with a given entity.
-
C.
numberOfAreaCouncils
Indicates the total count of area councils associated with a given entity.
-
D.
hasCouncillors
Indicates that an entity is associated with one or more councillors who serve or represent it in an official capacity.
-
E.
dominantNationalityOfCouncillors
Indicates that a specified nationality is the most prevalent among the councillors of a given governing body or council.
- 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_69d886db32608190a61e18862c5a8af6 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e438f9e5ac8190ba0b5820790112d9 |
completed | April 19, 2026, 2:07 a.m. |
| PD | Predicate disambiguation | batch_69e3b0118ad08190b119cd219c68ba67 |
completed | April 18, 2026, 4:23 p.m. |
Created at: April 10, 2026, 5:41 a.m.