Triple
T31735710
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michigan Proposal 2 (2006) |
E809987
|
entity |
| Predicate | addedProvision |
P11051
|
FINISHED |
| Object | ban on affirmative action in public education |
—
|
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: ban on affirmative action in public education | Statement: [Michigan Proposal 2 (2006), addedProvision, ban on affirmative action in public education]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: addedProvision Context triple: [Michigan Proposal 2 (2006), addedProvision, ban on affirmative action in public education]
-
A.
introducedProvision
Indicates that an entity formally brought a specific provision, clause, or measure into effect or into consideration.
-
B.
addedFor
Indicates that one entity was created, included, or introduced specifically for the benefit, use, or purpose of another entity.
-
C.
hasProvisionOn
chosen
Indicates that one entity contains, specifies, or includes a particular provision, clause, or stipulation concerning another entity or subject.
-
D.
implementedProvisionOf
Indicates that one entity carried out or put into effect the provision or supply of something for another entity.
-
E.
addedTo
Indicates that one entity has been included or incorporated into another entity, typically as a new component, member, or element.
- 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_69f348e0e4908190a884582eca646fb7 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6ab22f464819098766f11b1c3c846 |
completed | May 3, 2026, 1:55 a.m. |
| PD | Predicate disambiguation | batch_69f6aa20a1588190a53533fc9764efb2 |
completed | May 3, 2026, 1:51 a.m. |
Created at: April 30, 2026, 11:23 p.m.