Triple
T15753793
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Unalaska Airport |
E381914
|
entity |
| Predicate | FAAcode |
P420
|
FINISHED |
| Object | DUT |
E1175893
|
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: DUT | Statement: [Unalaska Airport, FAAcode, DUT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DUT Context triple: [Unalaska Airport, FAAcode, DUT]
-
A.
DUT
DUT is a public university of technology located in Durban, South Africa, offering a range of career-focused and applied science programs.
-
B.
DUT
chosen
DUT is the IATA airport code for Unalaska Airport, which serves the city of Unalaska in Alaska, United States.
-
C.
DUCET
DUCET is the Default Unicode Collation Element Table, a standard reference used to define the sorting and comparison order of Unicode characters across different languages and scripts.
-
D.
DUS
DUS is the three-letter IATA code for Düsseldorf Airport, a major international airport in western Germany.
-
E.
DU
DU is a premier public central university in India, renowned for its diverse academic programs and large collegiate system based in New Delhi.
- 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_69d86d9e6b44819085d1f6a969ecb74c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e05031f6a08190bfb333eced0a59a1 |
completed | April 16, 2026, 2:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff9096d65c81908755cae83cc48e61 |
completed | May 9, 2026, 7:52 p.m. |
Created at: April 10, 2026, 4:47 a.m.