Triple
T24404088
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Senedd electoral regions of Wales |
E615258
|
entity |
| Predicate | firstUsedForElection |
P1624
|
FINISHED |
| Object | 1999 Welsh Assembly 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: 1999 Welsh Assembly election | Statement: [Senedd electoral regions of Wales, firstUsedForElection, 1999 Welsh Assembly election]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstUsedForElection Context triple: [Senedd electoral regions of Wales, firstUsedForElection, 1999 Welsh Assembly election]
-
A.
firstUsedInElection
chosen
Indicates that something (such as a method, technology, or rule) was used for the first time in a particular election.
-
B.
firstElectionAfter
Indicates that one election is the earliest election that occurs after another specified election.
-
C.
usedInElection
Indicates that something (such as a resource, tool, or method) was employed or applied as part of conducting an election.
-
D.
firstElectionDate
Indicates the date on which an entity (such as a person or office) participated in or held its first election.
-
E.
firstElectionUnder
Indicates that an election was the first one conducted under a particular rule, system, constitution, or governing framework.
- 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_69e2d7e780bc81908049c779e697a7f6 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f294dcf7f4819094d2a3be163a5822 |
completed | April 29, 2026, 11:31 p.m. |
| PD | Predicate disambiguation | batch_69f287c4a2b48190b80fb7a3c0e9b018 |
completed | April 29, 2026, 10:35 p.m. |
Created at: April 18, 2026, 2:05 a.m.