Triple
T38059829
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UK Aeronautical Information Publication |
E950308
|
entity |
| Predicate | GENSectionContent |
P27372
|
FINISHED |
| Object | National regulations and requirements |
—
|
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: National regulations and requirements | Statement: [UK Aeronautical Information Publication, GENSectionContent, National regulations and requirements]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: GENSectionContent Context triple: [UK Aeronautical Information Publication, GENSectionContent, National regulations and requirements]
-
A.
sectionCreated
Indicates that a new section has been created or added within a larger structure, document, or system.
-
B.
narrativeSectionOf
Indicates that one text segment functions as a narrative section or component within a larger narrative work or document.
-
C.
sectionType
chosen
Indicates the specific kind or category of section that an entity belongs to or represents.
-
D.
sectionProvided
Indicates that a specific section or portion of content has been supplied or made available by one entity to another.
-
E.
section
Indicates that one entity is a distinct part, division, or segment of another entity within a larger whole.
- 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_69f76f01e63c819093b6012fc974f35a |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fc44c7e73c819082d4fc1900fb9632 |
completed | May 7, 2026, 7:52 a.m. |
| PD | Predicate disambiguation | batch_69fbc8efffbc8190a139798ad1880526 |
completed | May 6, 2026, 11:04 p.m. |
Created at: May 3, 2026, 4:21 p.m.