Triple
T3965765
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gratz v. Bollinger |
E92212
|
entity |
| Predicate | resultForPolicy |
P53653
|
FINISHED |
| Object | University of Michigan undergraduate admissions policy struck down |
—
|
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: University of Michigan undergraduate admissions policy struck down | Statement: [Gratz v. Bollinger, resultForPolicy, University of Michigan undergraduate admissions policy struck down]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: resultForPolicy Context triple: [Gratz v. Bollinger, resultForPolicy, University of Michigan undergraduate admissions policy struck down]
-
A.
implementedPolicy
Indicates that a particular policy has been put into effect or carried out by an entity.
-
B.
resultDetermination
Indicates the process or criteria by which an outcome, decision, or result is established or concluded from given inputs or conditions.
-
C.
decisionPublicationPolicy
Indicates the policy or rules governing how decisions are made public or communicated.
-
D.
supportsPolicy
Indicates that one entity endorses, backs, or is in favor of a particular policy or set of policies.
-
E.
targetedByPolicy
Indicates that an entity is the intended subject or focus of a specific policy’s rules, actions, or effects.
- F. None of above. chosen
Provenance (4 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_69aed96624188190ac8c45bb57ab72b5 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefba878a48190a2e234d775215938 |
completed | March 9, 2026, 4:56 p.m. |
| PD | Predicate disambiguation | batch_69aef8efcf3c81908ccf61d9ce26b0c0 |
completed | March 9, 2026, 4:44 p.m. |
| PDg | Predicate description generation | batch_69aefba6b9848190a7b0fb66100a2a0c |
completed | March 9, 2026, 4:56 p.m. |
Created at: March 9, 2026, 3:32 p.m.