Triple
T8074225
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Florida law |
E188451
|
entity |
| Predicate | hasLegalCitationFormat |
P30925
|
FINISHED |
| Object | Florida Statutes citation style |
—
|
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: Florida Statutes citation style | Statement: [Florida law, hasLegalCitationFormat, Florida Statutes citation style]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLegalCitationFormat Context triple: [Florida law, hasLegalCitationFormat, Florida Statutes citation style]
-
A.
legalCitationForm
Indicates the standardized way in which a legal authority (such as a case, statute, or regulation) should be cited in legal documents.
-
B.
hasCitationForm
chosen
Indicates that an entity is associated with a specific standardized form used for citing or referencing it.
-
C.
legalCitation
Indicates that one legal document, case, or authority formally references or cites another as a source of legal support or precedent.
-
D.
formerLegalCitation
Indicates that one legal citation previously referred to or governed a matter but has since been replaced, superseded, or is no longer the current controlling citation.
-
E.
hasFullCitation
Indicates that an entity is associated with a complete and properly formatted bibliographic reference.
- 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_69ca82b50c708190863f661d438e68df |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb404a98408190b6c8eecb95ad086d |
completed | March 31, 2026, 3:32 a.m. |
| PD | Predicate disambiguation | batch_69cb049f1614819087360d1a4c6f0faa |
completed | March 30, 2026, 11:17 p.m. |
Created at: March 30, 2026, 5:27 p.m.