Triple
T1470379
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Finnair |
E27121
|
entity |
| Predicate | callsign |
P1565
|
FINISHED |
| Object | FINNAIR |
E27121
|
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: FINNAIR | Statement: [Finnair, callsign, FINNAIR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FINNAIR Context triple: [Finnair, callsign, FINNAIR]
-
A.
Finnair
chosen
Finnair is the flag carrier and largest airline of Finland, operating an extensive network of domestic and international flights with a strong focus on routes between Europe and Asia.
-
B.
Aer Lingus
Aer Lingus is the flag carrier airline of Ireland, operating international flights primarily between Ireland, Europe, and North America.
-
C.
Lynx Air
Lynx Air is a Canadian ultra-low-cost airline that operates domestic and select international flights, primarily serving major hubs such as Toronto Pearson International Airport.
-
D.
Scandinavian Airlines
Scandinavian Airlines is the flag carrier of Denmark, Norway, and Sweden, operating as a major Nordic airline with an extensive European and intercontinental route network.
-
E.
Ryanair
Ryanair is a major Irish low-cost airline known for its extensive network of short-haul flights across Europe.
- 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_69a496d25d6881909dbd84f86d763992 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c5d9dd4c8190ba840a9255cd1293 |
completed | March 1, 2026, 11:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad15a74fbc8190b53511713032dc63 |
completed | March 8, 2026, 6:22 a.m. |
Created at: March 1, 2026, 8:01 p.m.