Triple
T10661323
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 14 CFR Part 67 |
E251231
|
entity |
| Predicate | containsSubpart |
P35
|
FINISHED |
| Object | Subpart A – General |
—
|
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: Subpart A – General | Statement: [14 CFR Part 67, containsSubpart, Subpart A – General]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsSubpart Context triple: [14 CFR Part 67, containsSubpart, Subpart A – General]
-
A.
hasSubcomponent
Indicates that one entity is a constituent part or component of another, larger entity.
-
B.
isSubsegmentOf
Indicates that one segment is entirely contained within and forms a continuous part of another, larger segment.
-
C.
hasPart
chosen
Indicates that one entity is a component, segment, or constituent part of another entity.
-
D.
containsAsSubfield
Indicates that one field or data structure includes another field as a nested or component subfield within it.
-
E.
containsSubchapter
Indicates that one chapter or section includes another, more specific subchapter as a part of its structure.
- 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_69d6aa5b0d2881909584b20efc5877f0 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6e017f97c8190b22765a6f1e6719d |
completed | April 8, 2026, 11:09 p.m. |
| PD | Predicate disambiguation | batch_69d6dd8753108190b799ffa0c760526e |
completed | April 8, 2026, 10:58 p.m. |
Created at: April 8, 2026, 9:08 p.m.