Triple
T15170032
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hawaii Admission Act |
E362461
|
entity |
| Predicate | popularApprovalYesPercentage |
P57627
|
FINISHED |
| Object | about 94.3% |
—
|
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: about 94.3% | Statement: [Hawaii Admission Act, popularApprovalYesPercentage, about 94.3%]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: popularApprovalYesPercentage Context triple: [Hawaii Admission Act, popularApprovalYesPercentage, about 94.3%]
-
A.
popularVote
Indicates the number or share of votes directly cast by the general electorate for a candidate or option in an election.
-
B.
supportPercentage
Indicates the proportion or share of total backing, approval, or assistance that one entity provides to or receives from another, typically expressed as a percentage.
-
C.
popularVoteShare
Indicates the proportion of all votes cast in an election that were received by a particular candidate, party, or option.
-
D.
popularVoteType
Indicates the specific method or category by which a popular vote is conducted or classified in an election or decision process.
-
E.
approvalRate
chosen
Indicates the proportion or percentage of subjects that express approval or a positive evaluation toward a given entity or action.
- 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_69d85a087b7c81908baa94a53dac8d68 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0064ec56481909f11fa6e5686f076 |
completed | April 15, 2026, 9:42 p.m. |
| PD | Predicate disambiguation | batch_69deb9779acc81908ed2dad382c42dca |
completed | April 14, 2026, 10:02 p.m. |
Created at: April 10, 2026, 3:08 a.m.