Triple
T37174521
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Judiciary of Arkansas |
E921002
|
entity |
| Predicate | usesLegalCitationStyle |
P108174
|
FINISHED |
| Object | Arkansas Reports |
—
|
NE NERFINISHED |
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: Arkansas Reports | Statement: [Judiciary of Arkansas, usesLegalCitationStyle, Arkansas Reports]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesLegalCitationStyle Context triple: [Judiciary of Arkansas, usesLegalCitationStyle, Arkansas Reports]
-
A.
usesCitationFormat
chosen
Indicates that one entity applies or follows a specific citation or referencing format defined by another entity.
-
B.
usedInLegalCitation
Indicates that one entity is referenced or relied upon as an authoritative source within a legal citation to support legal arguments or decisions.
-
C.
legalCitationSystem
Indicates a system or convention used to reference and identify legal authorities such as cases, statutes, or regulations.
-
D.
hasFictionalCitationStyle
Indicates that one entity uses or is associated with a citation or referencing style that is fictional or not used in real-world practice.
-
E.
legalCitation
Indicates that one legal document, case, or authority formally references or cites another as a source of legal support or precedent.
- 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_69f76ea16f288190b445aa1604d996f4 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb78cbef988190b8f79d946b46e6b2 |
completed | May 6, 2026, 5:22 p.m. |
| PD | Predicate disambiguation | batch_69fb5a9ac5a08190b24ef308963fc52b |
completed | May 6, 2026, 3:13 p.m. |
Created at: May 3, 2026, 4:15 p.m.