Triple
T1076276
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FISC |
E23845
|
entity |
| Predicate | decisionPublicationPolicy |
P23629
|
FINISHED |
| Object | most opinions and orders are classified |
—
|
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: most opinions and orders are classified | Statement: [FISC, decisionPublicationPolicy, most opinions and orders are classified]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: decisionPublicationPolicy Context triple: [FISC, decisionPublicationPolicy, most opinions and orders are classified]
-
A.
decisionType
Indicates the specific category or nature of a decision associated with an entity or event.
-
B.
decisionLanguage
Indicates that a decision, statement, or choice is expressed or recorded in a particular natural language.
-
C.
decisionBody
Indicates that one entity serves as the authoritative body or group responsible for making a particular decision regarding another entity or matter.
-
D.
decidesOn
Indicates that an agent makes a choice or determination regarding a particular option, issue, or course of action.
-
E.
decisionScope
Indicates the range or domain within which a particular decision is valid, applicable, or has authority.
- 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_69a493f1ddf48190a99d54b00e99f8ce |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b940d4848190930e73597afd1fcf |
completed | March 1, 2026, 10:10 p.m. |
| PD | Predicate disambiguation | batch_69a4b73ba8208190be7f3cef8c18689b |
completed | March 1, 2026, 10:01 p.m. |
| PDg | Predicate description generation | batch_69a4b80f0fb08190a19a50e38ae8f16c |
completed | March 1, 2026, 10:05 p.m. |
Created at: March 1, 2026, 7:42 p.m.