Triple
T17479913
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Board of Education v. Pico |
E425628
|
entity |
| Predicate | permittedGroundsForRemoval |
P64524
|
FINISHED |
| Object | educational unsuitability |
—
|
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: educational unsuitability | Statement: [Board of Education v. Pico, permittedGroundsForRemoval, educational unsuitability]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: permittedGroundsForRemoval Context triple: [Board of Education v. Pico, permittedGroundsForRemoval, educational unsuitability]
-
A.
removalGroundsInclude
chosen
Indicates that the specified grounds or reasons are included among the justifications for a removal action.
-
B.
removalCondition
Indicates the condition or circumstances under which an entity is removed, deleted, or no longer considered applicable.
-
C.
removalOnAdviceOf
Indicates that one entity is removed or taken away as a result of guidance, recommendation, or instruction provided by another entity.
-
D.
canBeRemovedBy
Indicates that one entity is capable of eliminating, detaching, or undoing another entity or its effect.
-
E.
removalMechanism
Indicates the method or process by which something is removed, eliminated, or taken away from a system or context.
- 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_69d889dbc2e88190b18ea6115e819258 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e451bf1e8081909f4d4b8992412e62 |
completed | April 19, 2026, 3:53 a.m. |
| PD | Predicate disambiguation | batch_69e3b4f341c88190adabe526d8903b05 |
completed | April 18, 2026, 4:44 p.m. |
Created at: April 10, 2026, 5:48 a.m.