Triple
T11524999
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OS |
E273269
|
entity |
| Predicate | airlineICAOCode |
P26821
|
FINISHED |
| Object | AUA |
E273270
|
NE 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: AUA | Statement: [OS, airlineICAOCode, AUA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AUA Context triple: [OS, airlineICAOCode, AUA]
-
A.
AUA
chosen
AUA is the ICAO airline designator used to identify Austrian Airlines in international aviation operations.
-
B.
AUA
AUA is the three-letter IATA airport code for Queen Beatrix International Airport, the main international gateway to the island of Aruba in the Caribbean.
-
C.
AUA
AUA is a regional consortium of leading Asian universities that collaborates to promote academic exchange, research partnerships, and educational cooperation across Asia.
-
D.
AAS
AAS is a federal acquisition organization that provides assisted procurement and contracting services to U.S. government agencies.
-
E.
AAS
AAS is a leading Australian scientific organization that promotes excellence in science, provides independent advice on scientific issues, and supports science education and public engagement.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6aae3fbec8190a14632a5df2538b6 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d87fd379648190b342e0c4b4f685b7 |
completed | April 10, 2026, 4:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e62562efb88190bbf3c7bbec8233aa |
completed | April 20, 2026, 1:08 p.m. |
Created at: April 8, 2026, 9:37 p.m.