Triple
T27063971
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 31st Dáil |
E685122
|
entity |
| Predicate | numberOfConstituenciesRepresented |
P13200
|
FINISHED |
| Object | 43 |
—
|
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: 43 | Statement: [31st Dáil, numberOfConstituenciesRepresented, 43]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfConstituenciesRepresented Context triple: [31st Dáil, numberOfConstituenciesRepresented, 43]
-
A.
representsConstituenciesIn
Indicates that an entity serves as the elected or official representative of certain constituencies within a specified governing body or jurisdiction.
-
B.
representedConstituenciesIn
Indicates that an individual or entity served as an official representative for one or more specified constituencies.
-
C.
numberOfAssemblyConstituenciesInParliamentarySeat
Indicates the total count of assembly constituencies that fall within a given parliamentary seat.
-
D.
hasNumberOfConstituencies
chosen
Indicates the specific count of constituencies associated with an entity.
-
E.
representsConstituency
Indicates that one entity serves as a constituent, component, or represented group within another entity, typically in a political or organizational context.
- 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_69ef14835fcc81908bd737b4267ae528 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69fe7b1c506c8190869c1a22031e0571 |
completed | May 9, 2026, 12:09 a.m. |
| PD | Predicate disambiguation | batch_69fe796b2bdc8190a86980d44008f875 |
completed | May 9, 2026, 12:01 a.m. |
Created at: April 27, 2026, 8:23 a.m.