Triple
T17294464
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2019 Conservative Party (UK) leadership election |
E419868
|
entity |
| Predicate | percentageForWinner |
P36641
|
FINISHED |
| Object | 66.4 |
—
|
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: 66.4 | Statement: [2019 Conservative Party (UK) leadership election, percentageForWinner, 66.4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: percentageForWinner Context triple: [2019 Conservative Party (UK) leadership election, percentageForWinner, 66.4]
-
A.
goalPercentage
Indicates the proportion of a goal that has been achieved relative to its total target.
-
B.
percentageForChange
Indicates the proportion or rate, expressed as a percentage, by which something increases, decreases, or otherwise changes relative to a reference value.
-
C.
hasPopularVotePercentageForWinner
chosen
Indicates the percentage of the total popular vote received by the winning candidate or option in an election or vote.
-
D.
percentage
Indicates the proportion or share of one quantity relative to another, typically expressed as a value out of 100.
-
E.
percentageMainOpponent
Indicates the proportion, expressed as a percentage, that a main opponent represents relative to a defined total or context.
- 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_69d886db32608190a61e18862c5a8af6 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e437869ec08190b4a63fb1ee6a71ee |
completed | April 19, 2026, 2:01 a.m. |
| PD | Predicate disambiguation | batch_69e3b0118ad08190b119cd219c68ba67 |
completed | April 18, 2026, 4:23 p.m. |
Created at: April 10, 2026, 5:40 a.m.