Triple
T2434403
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2010 Labour Party leadership election |
E52920
|
entity |
| Predicate | finalRoundPercentageDavidMiliband |
P39284
|
FINISHED |
| Object | 49.35% |
—
|
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: 49.35% | Statement: [2010 Labour Party leadership election, finalRoundPercentageDavidMiliband, 49.35%]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: finalRoundPercentageDavidMiliband Context triple: [2010 Labour Party leadership election, finalRoundPercentageDavidMiliband, 49.35%]
-
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.
hooverPopularVotePercentage
Indicates the percentage of the total popular vote that was received by Hoover in an election.
-
D.
LabourSeatsWon
Indicates the number of parliamentary seats won by the Labour Party in an election.
-
E.
smithPopularVotePercentage
Indicates the percentage of the popular vote that was received by the entity named Smith in a given election or voting 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_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.