Triple
T11911925
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AZU |
E283415
|
entity |
| Predicate | relatedAirlineIATAcode |
P81565
|
FINISHED |
| Object | AD |
—
|
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: AD | Statement: [AZU, relatedAirlineIATAcode, AD]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relatedAirlineIATAcode Context triple: [AZU, relatedAirlineIATAcode, AD]
-
A.
associatedAirlineIATA
chosen
Indicates the IATA airline code that is linked or related to a given entity (such as a flight, route, or airport record).
-
B.
associatedAirlineFullName
Indicates the full official name of the airline that is associated with a given entity or record.
-
C.
associatedAirlineICAOCode
Indicates the ICAO airline code that is linked to or used by the given entity (such as a flight, route, or service).
-
D.
associatedAirlineType
Indicates a relationship where an airline is linked to a specific classification or type (e.g., carrier category or operational class).
-
E.
associatedAirlineGroup
Indicates a relationship where an airline is linked or belongs to a specific airline group or alliance.
- 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_69d6ab2c07e88190ba13b0d21fd6cf33 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8e528f6748190ac873a040a61fa93 |
completed | April 10, 2026, 11:55 a.m. |
| PD | Predicate disambiguation | batch_69d8bb3632ac8190b13e53c2b5db7125 |
completed | April 10, 2026, 8:56 a.m. |
Created at: April 8, 2026, 9:44 p.m.