Triple
T29913349
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Smith v. Jones, 123 Wn.2d 456 |
E759727
|
entity |
| Predicate | citationFormatExampleFor |
P22441
|
FINISHED |
| Object | Wn.2d citation format |
—
|
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: Wn.2d citation format | Statement: [Smith v. Jones, 123 Wn.2d 456, citationFormatExampleFor, Wn.2d citation format]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: citationFormatExampleFor Context triple: [Smith v. Jones, 123 Wn.2d 456, citationFormatExampleFor, Wn.2d citation format]
-
A.
citationFormExample
chosen
Indicates that an example is provided illustrating the standard or canonical citation form of an expression or lexical item.
-
B.
citationFormatIncludes
Indicates that a particular citation format specification contains or incorporates a given element, rule, or component as part of its structure.
-
C.
citationStyle
Indicates the specific formatting and referencing conventions used to cite sources in a document or publication.
-
D.
citationAs
Indicates that one entity is cited or referenced in the role or capacity specified by another entity (such as a particular work, version, or context).
-
E.
citationStyleName
Indicates the specific formatting style or standard used for creating citations or references.
- 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_69f2246189fc8190996b63ee1f9a2374 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f6775c80548190bd6329cb919a921c |
completed | May 2, 2026, 10:14 p.m. |
| PD | Predicate disambiguation | batch_69f673c4abec8190bc2379e66f4af0a9 |
completed | May 2, 2026, 9:59 p.m. |
Created at: April 29, 2026, 6:11 p.m.