Triple
T5350713
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | YQT |
E124169
|
entity |
| Predicate | hasIATACode |
P2569
|
FINISHED |
| Object | YQT |
E124169
|
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: YQT | Statement: [YQT, hasIATACode, YQT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: YQT Context triple: [YQT, hasIATACode, YQT]
-
A.
YQT
chosen
YQT is the IATA airport code for Thunder Bay International Airport, a regional air transport hub in Thunder Bay, Ontario, Canada.
-
B.
YQG
YQG is the IATA airport code for Windsor International Airport, a commercial airport serving Windsor, Ontario, Canada and the surrounding region.
-
C.
YB
YB is the common abbreviation for BSC Young Boys, a professional football club based in Bern, Switzerland.
-
D.
YDLQ
YDLQ is the ICAO airport code for Deniliquin Airport in New South Wales, Australia.
-
E.
YRT
YRT is the public transit system serving Ontario’s York Region, operating local and rapid buses that connect communities north of Toronto.
- 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_69bd464be27081908807b40b75c1bbae |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd860fe4048190846a933d0e1b9386 |
completed | March 20, 2026, 5:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf21d494b481909d7887cd85233815 |
completed | March 21, 2026, 10:55 p.m. |
Created at: March 20, 2026, 2:01 p.m.