Triple
T31904784
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Theresa May confidence vote (December 2018) |
E814517
|
entity |
| Predicate | percentageFor |
P80316
|
FINISHED |
| Object | 63.1% |
—
|
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: 63.1% | Statement: [Theresa May confidence vote (December 2018), percentageFor, 63.1%]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: percentageFor Context triple: [Theresa May confidence vote (December 2018), percentageFor, 63.1%]
-
A.
percentageForChange
Indicates the proportion or rate, expressed as a percentage, by which something increases, decreases, or otherwise changes relative to a reference value.
-
B.
percentage
Indicates the proportion or share of one quantity relative to another, typically expressed as a value out of 100.
-
C.
OnBasePercentage
Indicates the frequency with which a batter successfully reaches base (by hit, walk, or hit-by-pitch) per plate appearance.
-
D.
votesForPercentage
chosen
Indicates the proportion of total votes that one entity receives in favor of another entity or option, usually expressed as a percentage.
-
E.
portionForm
Indicates that one entity represents the specific form, shape, or configuration in which a portion of another entity is presented or structured.
- 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_69f348f04d7881909537fc9e7cbc670e |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6cd126fcc8190aa1f1f146e45ec0c |
completed | May 3, 2026, 4:20 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1470808190b70cdfd7a6395670 |
completed | May 3, 2026, 4:16 a.m. |
Created at: May 1, 2026, midnight