Triple
T20874467
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northern Ireland local elections |
E513981
|
entity |
| Predicate | numberOfCouncilsAfter2015Reform |
P142202
|
FINISHED |
| Object | 11 |
—
|
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: 11 | Statement: [Northern Ireland local elections, numberOfCouncilsAfter2015Reform, 11]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfCouncilsAfter2015Reform Context triple: [Northern Ireland local elections, numberOfCouncilsAfter2015Reform, 11]
-
A.
numberOfAreaCouncils
Indicates the total count of area councils associated with a given entity.
-
B.
hasNumberOfCouncillors
Indicates the relationship that specifies how many councillors are associated with a given entity.
-
C.
numberOfRegionalCouncils
Indicates the total count of regional councils associated with a given entity.
-
D.
numberOfCouncilsCoordinated
Indicates the total count of councils that an entity has organized or coordinated.
-
E.
reducedNumberOfMPsFrom
Indicates that an entity has experienced a decrease in its number of MPs (members of parliament) originating from the referenced source entity.
- F. None of above. chosen
Provenance (4 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_69e0b4f675cc8190b4e745225b62eb66 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c674075081909e0819b20bdbb7f4 |
completed | April 21, 2026, 12:36 a.m. |
| PD | Predicate disambiguation | batch_69e5c9a8dc148190b33ff51894e2a8f9 |
completed | April 20, 2026, 6:37 a.m. |
| PDg | Predicate description generation | batch_69e5d53c4d6881909b4d0a716fa5ed4a |
completed | April 20, 2026, 7:26 a.m. |
Created at: April 16, 2026, 12:45 p.m.