Triple
T2434402
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2010 Labour Party leadership election |
E52920
|
entity |
| Predicate | finalRoundPercentageEdMiliband |
P39283
|
FINISHED |
| Object | 50.65% |
—
|
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: 50.65% | Statement: [2010 Labour Party leadership election, finalRoundPercentageEdMiliband, 50.65%]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: finalRoundPercentageEdMiliband Context triple: [2010 Labour Party leadership election, finalRoundPercentageEdMiliband, 50.65%]
-
A.
referendumResultLeavePercentage
Indicates the percentage of votes in a referendum that were cast in favor of the "leave" option.
-
B.
wonParliamentaryElection
Indicates that one party or candidate achieved victory in a parliamentary election over others.
-
C.
LabourSeatsWon
Indicates the number of parliamentary seats won by the Labour Party in an election.
-
D.
voterTurnoutPercentage
Indicates the proportion of eligible or registered voters who actually cast a ballot in a given election, expressed as a percentage.
-
E.
referendumResultRemainPercentage
Indicates the percentage of votes in a referendum that were cast in favor of remaining (as opposed to leaving or changing the status quo).
- 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_69ab4959bcc0819083246f9fb10439e3 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abcebf7cac8190889e6890d72c256c |
completed | March 7, 2026, 7:07 a.m. |
| PD | Predicate disambiguation | batch_69abc5ac11b081908ce6a506e81a742a |
completed | March 7, 2026, 6:29 a.m. |
| PDg | Predicate description generation | batch_69abcebe7dd08190b197a2a0e78787e3 |
completed | March 7, 2026, 7:07 a.m. |
Created at: March 6, 2026, 9:43 p.m.