Triple
T32007372
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Derry and Strabane District |
E817305
|
entity |
| Predicate | councillorCount |
P2433
|
FINISHED |
| Object | 40 |
—
|
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: 40 | Statement: [Derry and Strabane District, councillorCount, 40]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: councillorCount Context triple: [Derry and Strabane District, councillorCount, 40]
-
A.
hasNumberOfCouncillors
chosen
Indicates the relationship that specifies how many councillors are associated with a given entity.
-
B.
hasCouncillors
Indicates that an entity is associated with one or more councillors who serve or represent it in an official capacity.
-
C.
councilRepresentation
Indicates that one entity serves as an official representative or delegate for another entity within a council or governing body.
-
D.
numberOfDistrictMembers
Indicates the relationship that specifies how many members are associated with a given district.
-
E.
numberOfCouncilsBefore2015Reform
Indicates the total count of councils that existed prior to the 2015 reform.
- 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_69f348f8ce388190ae84376b1f348f12 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6b42a2b008190840c91c9b18857a7 |
completed | May 3, 2026, 2:34 a.m. |
| PD | Predicate disambiguation | batch_69f6b151ad008190836c1bcdec503ce2 |
completed | May 3, 2026, 2:22 a.m. |
Created at: May 1, 2026, 12:15 a.m.