Triple
T35591323
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Evidence Code § 702 |
E1028508
|
entity |
| Predicate | codeSectionNumber |
P8879
|
FINISHED |
| Object | 702 |
—
|
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: 702 | Statement: [Evidence Code § 702, codeSectionNumber, 702]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: codeSectionNumber Context triple: [Evidence Code § 702, codeSectionNumber, 702]
-
A.
codeSection
Indicates a specific segment or subsection within a larger body of code that is distinguished for reference, organization, or analysis.
-
B.
isSectionNumber
chosen
Indicates that one entity is the section number identifier associated with another entity, typically within a structured document or text.
-
C.
collectionSectionNumber
Indicates the specific numbered section within a collection to which an item or element belongs.
-
D.
testSectionOf
Indicates that one entity is a specific section, part, or subdivision of a larger test or examination.
-
E.
lineNumberOrCode
Indicates the specific line number or code identifier associated with an element, reference, or occurrence within a structured sequence or document.
- 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_69f76e0598dc8190a6a093e904b9aa70 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f79ec355048190af30123ceb6efa2b |
completed | May 3, 2026, 7:15 p.m. |
| PD | Predicate disambiguation | batch_69f79e4bdbcc8190be7a0d2cf8a77b64 |
completed | May 3, 2026, 7:13 p.m. |
Created at: May 3, 2026, 4:05 p.m.