Triple
T1516036
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Twenty-sixth Amendment to the United States Constitution |
E32120
|
entity |
| Predicate | previousGeneralVotingAgeInManyStates |
P1871
|
FINISHED |
| Object | 21 |
—
|
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: 21 | Statement: [Twenty-sixth Amendment to the United States Constitution, previousGeneralVotingAgeInManyStates, 21]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: previousGeneralVotingAgeInManyStates Context triple: [Twenty-sixth Amendment to the United States Constitution, previousGeneralVotingAgeInManyStates, 21]
-
A.
votingAge
chosen
Indicates the minimum age at which an individual is legally permitted to vote.
-
B.
minimumRegistrationAge
Indicates the lowest age at which an entity is allowed or eligible to register for something.
-
C.
legalStatusOfElectors
Indicates the legal standing, rights, and recognition granted to electors under applicable laws or regulations.
-
D.
eligibleVoters
Indicates that the referenced entities are legally permitted and qualified to vote in a given election or jurisdiction.
-
E.
hasUniversalSuffrage
Indicates that all adult citizens in a given jurisdiction have the legal right to vote in public elections, regardless of characteristics such as gender, race, or wealth.
- 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_69a885e8caf88190a5fbb6159ce87786 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a9396e16408190b5e7b0ac43376d81 |
completed | March 5, 2026, 8:06 a.m. |
| PD | Predicate disambiguation | batch_69a907aa67cc81909f00135365447399 |
completed | March 5, 2026, 4:33 a.m. |
Created at: March 4, 2026, 7:26 p.m.