Triple
T27231051
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Galway East (Dáil constituency) |
E682155
|
entity |
| Predicate | seatCountAppliesFrom |
P162269
|
FINISHED |
| Object | 2016 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 general election | Statement: [Galway East (Dáil constituency), seatCountAppliesFrom, 2016 general election]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seatCountAppliesFrom Context triple: [Galway East (Dáil constituency), seatCountAppliesFrom, 2016 general election]
-
A.
seatCount
Indicates the number of seats associated with an entity, such as a venue, vehicle, or room.
-
B.
definesNumberOfSeats
Indicates that an entity specifies or determines the total number of seats associated with another entity.
-
C.
assemblySeatCount
Indicates the number of seats an entity holds in a legislative assembly.
-
D.
seatCount_Moked
Indicates the number of seats associated with a given entity or context in the "Moked" setting.
-
E.
currentNumberOfSeats
Indicates the present total count of seats associated with an entity or context.
- 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_69eefacdad7881908b7bca61c90a1a1e |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69f6264ec31081908b14cbdbc604d437 |
completed | May 2, 2026, 4:29 p.m. |
| PD | Predicate disambiguation | batch_69f620e38aec8190bb184edcdbd6da64 |
completed | May 2, 2026, 4:05 p.m. |
| PDg | Predicate description generation | batch_69f622a8fe7c819096e8a43db263a423 |
completed | May 2, 2026, 4:13 p.m. |
Created at: April 27, 2026, 9:46 a.m.