Triple
T29116763
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wyoming Supreme Court |
E737065
|
entity |
| Predicate | reportsCitationFormat |
P21790
|
FINISHED |
| Object | P.3d (Pacific Reporter, third series) |
—
|
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: P.3d (Pacific Reporter, third series) | Statement: [Wyoming Supreme Court, reportsCitationFormat, P.3d (Pacific Reporter, third series)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reportsCitationFormat Context triple: [Wyoming Supreme Court, reportsCitationFormat, P.3d (Pacific Reporter, third series)]
-
A.
reportsCitation
Indicates that one entity formally cites, references, or reports another entity as a source in a document or record.
-
B.
citationFormatIncludes
chosen
Indicates that a particular citation format specification contains or incorporates a given element, rule, or component as part of its structure.
-
C.
reportsFormat
Indicates that one entity reports or presents information in a particular format specified by another entity.
-
D.
hasCitationForm
Indicates that an entity is associated with a specific standardized form used for citing or referencing it.
-
E.
citationIn
Indicates that one work cites, references, or otherwise acknowledges another work as a source.
- 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_69f077ed54e08190bb02a744e8121a66 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69f67d3624248190a36a9b2d2e9778d4 |
completed | May 2, 2026, 10:39 p.m. |
| PD | Predicate disambiguation | batch_69f678ce54b081908c26edfd49e39c60 |
completed | May 2, 2026, 10:21 p.m. |
Created at: April 28, 2026, 11:22 a.m.