Triple
T30125264
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scottish devolution referendum, 1979 |
E765677
|
entity |
| Predicate | yesVotesAsElectoratePercentage |
P75178
|
FINISHED |
| Object | about 32.9% |
—
|
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: about 32.9% | Statement: [Scottish devolution referendum, 1979, yesVotesAsElectoratePercentage, about 32.9%]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yesVotesAsElectoratePercentage Context triple: [Scottish devolution referendum, 1979, yesVotesAsElectoratePercentage, about 32.9%]
-
A.
yesVotes
Indicates that a specified entity has cast or received affirmative votes in a decision-making or voting context.
-
B.
referendumYesPercentage
chosen
Indicates the percentage of votes cast in favor of the "yes" option in a referendum.
-
C.
voterTurnoutPercentage
Indicates the proportion of eligible or registered voters who actually cast a ballot in a given election, expressed as a percentage.
-
D.
votesForPercentage
Indicates the proportion of total votes that one entity receives in favor of another entity or option, usually expressed as a percentage.
-
E.
noVotesPercentage
Indicates the proportion of total votes that were cast as "no" in a given decision or election.
- 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_69f2247716748190ae4f16998f49ddf1 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f67def29e4819089a24fac521054f6 |
completed | May 2, 2026, 10:42 p.m. |
| PD | Predicate disambiguation | batch_69f673c664f08190b4d66cdc305e10db |
completed | May 2, 2026, 9:59 p.m. |
Created at: April 29, 2026, 7:14 p.m.