Triple
T1240174
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prohibition era in the United States |
E26639
|
entity |
| Predicate | constitutionalAmendmentNumberOfRepeal |
P15324
|
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: [Prohibition era in the United States, constitutionalAmendmentNumberOfRepeal, 21]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: constitutionalAmendmentNumberOfRepeal Context triple: [Prohibition era in the United States, constitutionalAmendmentNumberOfRepeal, 21]
-
A.
constitutionalAmendmentNumber
chosen
Indicates the specific numerical designation assigned to a particular constitutional amendment within a legal or constitutional framework.
-
B.
amendmentCount
Indicates the number of amendments that have been made to a given item, document, or entity.
-
C.
constitutionalChange
Indicates a formal modification, addition, or removal of provisions within a constitution or foundational legal framework.
-
D.
repealed
Indicates that a law, rule, or regulation has been officially revoked or annulled so that it no longer has legal effect.
-
E.
canAmendConstitution
Indicates that an entity has the authority or power to modify or revise a constitution.
- 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_69a4948689d08190b3a4a3f388c02148 |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4bf4343e48190a232abd8475880a0 |
completed | March 1, 2026, 10:35 p.m. |
| PD | Predicate disambiguation | batch_69a4bb696a38819095845c84f0241287 |
completed | March 1, 2026, 10:19 p.m. |
Created at: March 1, 2026, 7:47 p.m.