Triple
T936417
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | California Appellate Reports |
E20204
|
entity |
| Predicate | citationFormatIncludes |
P21790
|
FINISHED |
| Object | volume number |
—
|
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: volume number | Statement: [California Appellate Reports, citationFormatIncludes, volume number]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: citationFormatIncludes Context triple: [California Appellate Reports, citationFormatIncludes, volume number]
-
A.
citationStyle
Indicates the specific formatting and referencing conventions used to cite sources in a document or publication.
-
B.
citationBy
Indicates that one work is cited or referenced by another work.
-
C.
citationNumber
Indicates the specific numeric identifier assigned to a citation within a document or reference list.
-
D.
citationLanguage
Indicates the language in which a cited work or reference is written or presented.
-
E.
hasFullCitation
Indicates that an entity is associated with a complete and properly formatted bibliographic reference.
- 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_69a493b0270c81909e6c9ce310f6aa55 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b36558588190a2a9c710073624d1 |
completed | March 1, 2026, 9:45 p.m. |
| PD | Predicate disambiguation | batch_69a4b29b245c8190b143f28b77fede3c |
completed | March 1, 2026, 9:41 p.m. |
| PDg | Predicate description generation | batch_69a4b326d9d88190913c1a892a795707 |
completed | March 1, 2026, 9:44 p.m. |
Created at: March 1, 2026, 7:40 p.m.