Triple
T25764568
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Minersville School District |
E648843
|
entity |
| Predicate | legalIssueIn |
P71081
|
FINISHED |
| Object | compulsory flag salute in public schools |
—
|
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: compulsory flag salute in public schools | Statement: [Minersville School District, legalIssueIn, compulsory flag salute in public schools]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: legalIssueIn Context triple: [Minersville School District, legalIssueIn, compulsory flag salute in public schools]
-
A.
mainLegalIssue
Indicates the primary legal question or dispute that is central to a case or legal matter.
-
B.
legalMatters
chosen
Indicates that one entity is involved with, concerned about, or responsible for legal issues, processes, or obligations related to another entity or context.
-
C.
hasLegalIssue
Indicates that an entity is involved in, associated with, or subject to a legal problem, dispute, or proceeding.
-
D.
legalIn
Indicates that an action, status, or entity is permitted or valid under the laws or regulations of a specified jurisdiction.
-
E.
legalAct
Indicates that an entity performs, enacts, or is involved in a formal legal action, measure, or proceeding under a legal framework.
- 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_69e7ab322db0819092d6a2b3d4572e01 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f6b49436b0819094e21603054d05d4 |
completed | May 3, 2026, 2:36 a.m. |
| PD | Predicate disambiguation | batch_69f6b3a5fd8481909433e923c5e24e55 |
completed | May 3, 2026, 2:32 a.m. |
Created at: April 22, 2026, 5:09 a.m.