Triple
T15428637
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | S.D. Cal. |
E369575
|
entity |
| Predicate | subjectAbbreviationType |
P70151
|
FINISHED |
| Object | standard legal abbreviation |
—
|
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: standard legal abbreviation | Statement: [S.D. Cal., subjectAbbreviationType, standard legal abbreviation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: subjectAbbreviationType Context triple: [S.D. Cal., subjectAbbreviationType, standard legal abbreviation]
-
A.
typeOfAbbreviation
chosen
Indicates that one term is an abbreviation of a specific type or category (e.g., acronym, initialism) of another expression.
-
B.
academicTitleAbbreviation
Indicates that one entity is the standard abbreviated form of another entity’s full academic title.
-
C.
authorAbbreviation
Indicates that one entity is the standardized abbreviated form of an author's name used in citations or references for another entity.
-
D.
scientificNameAbbreviation
Indicates that one entity is an abbreviated or shortened form of the scientific name of another entity.
-
E.
abbreviationOrShortForm
Indicates that one term is an abbreviation or shortened form of another term.
- 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_69d85a1849f48190bf898068b2806fae |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03ec31f4881908b26ff7c381d7bc9 |
completed | April 16, 2026, 1:43 a.m. |
| PD | Predicate disambiguation | batch_69ded27f45548190a6d2b1b85cb47444 |
completed | April 14, 2026, 11:49 p.m. |
Created at: April 10, 2026, 3:20 a.m.