Triple
T22510447
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1988 Chilean national plebiscite |
E556503
|
entity |
| Predicate | percentageForNo |
P66702
|
FINISHED |
| Object | 55.99% |
—
|
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: 55.99% | Statement: [1988 Chilean national plebiscite, percentageForNo, 55.99%]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: percentageForNo Context triple: [1988 Chilean national plebiscite, percentageForNo, 55.99%]
-
A.
noVotesPercentage
chosen
Indicates the proportion of total votes that were cast as "no" in a given decision or election.
-
B.
percentage
Indicates the proportion or share of one quantity relative to another, typically expressed as a value out of 100.
-
C.
percentageForChange
Indicates the proportion or rate, expressed as a percentage, by which something increases, decreases, or otherwise changes relative to a reference value.
-
D.
OnBasePercentage
Indicates the frequency with which a batter successfully reaches base (by hit, walk, or hit-by-pitch) per plate appearance.
-
E.
coversPercentageOf
Indicates that one entity extends over and occupies a specified percentage of the surface, area, volume, or extent of another entity.
- 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_69e11e555edc81909ca803587dafd747 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15d5faf6c8190ba0513be9ae7d128 |
completed | April 29, 2026, 1:22 a.m. |
| PD | Predicate disambiguation | batch_69ee625e3b408190a60c759fb0b28fe2 |
completed | April 26, 2026, 7:07 p.m. |
Created at: April 16, 2026, 8:50 p.m.