Triple
T27231111
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 32nd Dáil |
E682156
|
entity |
| Predicate | termSpannedGeneralElections |
P118967
|
FINISHED |
| Object | 2016 Irish general election |
—
|
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: 2016 Irish general election | Statement: [32nd Dáil, termSpannedGeneralElections, 2016 Irish general election]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: termSpannedGeneralElections Context triple: [32nd Dáil, termSpannedGeneralElections, 2016 Irish general election]
-
A.
numberOfTimesElectedGeneral
Indicates the number of times an entity has been elected to the position of general.
-
B.
hasGeneralElections
chosen
Indicates that general elections are held or occur in relation to the specified entity.
-
C.
electoralHistory
Indicates the historical record of elections or voting outcomes associated with an entity.
-
D.
portionUpForElectionEachCycle
Indicates what fraction of the total membership or seats is contested in each election cycle.
-
E.
assemblyElectionsHeldEvery
Indicates that legislative assembly elections are conducted at a regular interval specified by the associated value.
- 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_69eefacdad7881908b7bca61c90a1a1e |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69f65876c52c8190bc889c7a67bd07f3 |
completed | May 2, 2026, 8:03 p.m. |
| PD | Predicate disambiguation | batch_69f6575d89788190aca478e4aea05a65 |
completed | May 2, 2026, 7:58 p.m. |
Created at: April 27, 2026, 9:46 a.m.