Triple
T24200519
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FAA Part 33 |
E599963
|
entity |
| Predicate | CFRPartNumber |
P106992
|
FINISHED |
| Object | 33 |
—
|
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: 33 | Statement: [FAA Part 33, CFRPartNumber, 33]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: CFRPartNumber Context triple: [FAA Part 33, CFRPartNumber, 33]
-
A.
federalRegisterCitation
Indicates that one entity is cited or referenced in the Federal Register under a specific citation.
-
B.
CFRTitle
chosen
Indicates the specific title within the Code of Federal Regulations under which a referenced regulation or provision is categorized.
-
C.
statutesAtLargeCitation
Indicates that one entity cites or is referenced by a specific citation in the United States Statutes at Large.
-
D.
treatyPartNumber
Indicates the specific part or section number within a treaty to which something (e.g., a provision, reference, or citation) is related.
-
E.
codificationTopicNumber
Indicates the numbered topic or subject under which something is organized or classified in a codification system.
- 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_69e288ceaab88190899d0acb5931591d |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f27ca08874819081dd6613ac462c40 |
completed | April 29, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69f1c43e55688190b55fc20274ed471c |
completed | April 29, 2026, 8:41 a.m. |
Created at: April 17, 2026, 11:36 p.m.