Triple
T7160723
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nordic Regional Airlines |
E166934
|
entity |
| Predicate | callsign |
P1565
|
FINISHED |
| Object |
FINNCOMM
FINNCOMM is the airline callsign historically associated with the Finnish regional carrier that later became Nordic Regional Airlines.
|
E645854
|
NE FINISHED |
How this triple was built (4 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: FINNCOMM | Statement: [Nordic Regional Airlines, callsign, FINNCOMM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FINNCOMM Context triple: [Nordic Regional Airlines, callsign, FINNCOMM]
-
A.
Finfinne
Finfinne is the Oromo name for Addis Ababa, the capital and largest city of Ethiopia.
-
B.
Founex
Founex is a small Swiss municipality on Lake Geneva in the canton of Vaud, known for its residential character and proximity to Geneva.
-
C.
Fin
Fin is the debut solo studio album by American singer, songwriter, and producer Syd tha Kyd, known for its smooth blend of R&B, neo-soul, and alternative hip-hop.
-
D.
FIO
FIO is the acronym for the Federal Insurance Office, a U.S. Treasury Department agency that monitors the insurance industry and advises on national and international insurance policy.
-
E.
Finney
Finney is a surname most famously associated with English actor Albert Finney, known for his acclaimed work in film, television, and theatre.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: FINNCOMM Triple: [Nordic Regional Airlines, callsign, FINNCOMM]
Generated description
FINNCOMM is the airline callsign historically associated with the Finnish regional carrier that later became Nordic Regional Airlines.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: FINNCOMM Target entity description: FINNCOMM is the airline callsign historically associated with the Finnish regional carrier that later became Nordic Regional Airlines.
-
A.
Finfinne
Finfinne is the Oromo name for Addis Ababa, the capital and largest city of Ethiopia.
-
B.
Founex
Founex is a small Swiss municipality on Lake Geneva in the canton of Vaud, known for its residential character and proximity to Geneva.
-
C.
Fin
Fin is the debut solo studio album by American singer, songwriter, and producer Syd tha Kyd, known for its smooth blend of R&B, neo-soul, and alternative hip-hop.
-
D.
FIO
FIO is the acronym for the Federal Insurance Office, a U.S. Treasury Department agency that monitors the insurance industry and advises on national and international insurance policy.
-
E.
Finney
Finney is a surname most famously associated with English actor Albert Finney, known for his acclaimed work in film, television, and theatre.
- F. None of above. chosen
Provenance (5 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_69c68887a5cc8190bec0ea96227164f7 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e82ce770819081dccf7ffd50c2ab |
completed | March 27, 2026, 8:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7adc08b688190a00024727542c8b9 |
completed | March 28, 2026, 10:30 a.m. |
| NEDg | Description generation | batch_69c7ae661f4481908ee489023af9603b |
completed | March 28, 2026, 10:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7aef767848190b7edf7a99e2e019d |
completed | March 28, 2026, 10:35 a.m. |
Created at: March 27, 2026, 2:47 p.m.