Triple
T29480514
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2016 Labour Party leadership election |
E747770
|
entity |
| Predicate | percentageForOwenSmith |
P170427
|
FINISHED |
| Object | 38.2% |
—
|
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: 38.2% | Statement: [2016 Labour Party leadership election, percentageForOwenSmith, 38.2%]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: percentageForOwenSmith Context triple: [2016 Labour Party leadership election, percentageForOwenSmith, 38.2%]
-
A.
percentageForJohnTory
Indicates the percentage value associated with John Tory in a given context, such as votes, support, or another measurable metric.
-
B.
percentageForAbrahamLincoln
Indicates the percentage value associated with Abraham Lincoln in a given context, such as support, votes, or representation.
-
C.
James Pearson
Indicates a relationship or action involving the entity named "James Pearson" and another entity, event, or attribute, depending on context.
-
D.
hallOfFameVotePercentage
Indicates the percentage of votes an individual received in a Hall of Fame selection process.
-
E.
percentageForJeremyCorbyn
Indicates the proportion or percentage value associated with Jeremy Corbyn in a given context, such as votes, support, or another measurable metric.
- 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_69f0bd43ba30819095eb1cfc3adf525c |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_69f69063edbc81909e7735954aabee0b |
completed | May 3, 2026, 12:01 a.m. |
| PD | Predicate disambiguation | batch_69f68b7b03488190b1db5fde4c7dd6e5 |
completed | May 2, 2026, 11:40 p.m. |
| PDg | Predicate description generation | batch_69f68f6584a88190a8c4d95c0c84bee9 |
completed | May 2, 2026, 11:57 p.m. |
Created at: April 28, 2026, 4:03 p.m.