Triple
T2156027
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UAL |
E47888
|
entity |
| Predicate | belongsToCodeSpace |
P7277
|
FINISHED |
| Object | ICAO airline designators |
—
|
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: ICAO airline designators | Statement: [UAL, belongsToCodeSpace, ICAO airline designators]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: belongsToCodeSpace Context triple: [UAL, belongsToCodeSpace, ICAO airline designators]
-
A.
codeSpace
chosen
Indicates the namespace or contextual scope within which a piece of code, identifier, or programming element is defined and interpreted.
-
B.
belongsToProgram
Indicates that an entity is a member of, or is associated with, a specific program.
-
C.
canBelongTo
Indicates that something is capable of being a member or part of a particular group, category, or owner.
-
D.
hasSpaceType
Indicates that one entity is associated with, or classified by, a particular type or category of space.
-
E.
relatedCode
Indicates that one code is associated with, linked to, or otherwise contextually connected to another code.
- 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_69a88a1d1fd8819088b34990d69a712f |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abbe669c188190bb4c1c391ca848b0 |
completed | March 7, 2026, 5:57 a.m. |
| PD | Predicate disambiguation | batch_69abbd9a60648190b20b116be5c7ad98 |
completed | March 7, 2026, 5:54 a.m. |
Created at: March 4, 2026, 7:44 p.m.