Triple
T4862860
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grove City College v. Bell |
E108700
|
entity |
| Predicate | concernsRegulation |
P54130
|
FINISHED |
| Object | federal nondiscrimination regulations under Title IX |
—
|
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: federal nondiscrimination regulations under Title IX | Statement: [Grove City College v. Bell, concernsRegulation, federal nondiscrimination regulations under Title IX]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: concernsRegulation Context triple: [Grove City College v. Bell, concernsRegulation, federal nondiscrimination regulations under Title IX]
-
A.
regulatoryIssues
Indicates that there are regulatory concerns, non-compliance, or potential violations associated with the related entity or activity.
-
B.
regulationAtIssue
chosen
Indicates that a specific regulation is the subject of concern, dispute, or analysis in the given context.
-
C.
associatedWithRegulation
Indicates a relationship where something is linked to, governed by, or relevant to a specific regulation or regulatory framework.
-
D.
regulationImpact
Indicates how a regulation influences, constrains, or alters the behavior, performance, or outcomes associated with the related entities.
-
E.
alsoRegulates
Indicates that an entity not only has a primary regulatory effect on a target but additionally regulates that same target through another, supplementary regulatory relationship.
- 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_69bd440b965081908b0557721cae6338 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6d60e47c819094b5fbe883db4c15 |
completed | March 20, 2026, 3:53 p.m. |
| PD | Predicate disambiguation | batch_69bd6c27334481909ba8ac80854f7d8e |
completed | March 20, 2026, 3:47 p.m. |
Created at: March 20, 2026, 1:26 p.m.