Triple
T5943677
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Widerøe |
E132228
|
entity |
| Predicate | callsign |
P1565
|
FINISHED |
| Object |
WIDEROE
WIDEROE is the radio callsign used by Widerøe, a Norwegian regional airline operating domestic and short-haul international flights.
|
E556616
|
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: WIDEROE | Statement: [Widerøe, callsign, WIDEROE]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WIDEROE Context triple: [Widerøe, callsign, WIDEROE]
-
A.
Valdresflye
Valdresflye is a high mountain plateau and scenic driving route in central Norway, renowned for its expansive views, hiking opportunities, and access to the Jotunheimen region.
-
B.
Equair
Equair is an Ecuadorian airline that operated domestic passenger flights, notably serving routes from Guayaquil and Quito.
-
C.
Wibault 282
The Wibault 282 was a French single-engine airliner of the early 1930s, used primarily for short- to medium-haul passenger services.
-
D.
Aeroplan
Aeroplan is Air Canada's loyalty program that allows members to earn and redeem points for flights, upgrades, and other travel-related rewards.
-
E.
Wagenborgen
Wagenborgen is a village in the Dutch province of Groningen, located within the municipality of Eemsdelta.
- 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: WIDEROE Triple: [Widerøe, callsign, WIDEROE]
Generated description
WIDEROE is the radio callsign used by Widerøe, a Norwegian regional airline operating domestic and short-haul international flights.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: WIDEROE Target entity description: WIDEROE is the radio callsign used by Widerøe, a Norwegian regional airline operating domestic and short-haul international flights.
-
A.
Valdresflye
Valdresflye is a high mountain plateau and scenic driving route in central Norway, renowned for its expansive views, hiking opportunities, and access to the Jotunheimen region.
-
B.
Equair
Equair is an Ecuadorian airline that operated domestic passenger flights, notably serving routes from Guayaquil and Quito.
-
C.
Wibault 282
The Wibault 282 was a French single-engine airliner of the early 1930s, used primarily for short- to medium-haul passenger services.
-
D.
Aeroplan
Aeroplan is Air Canada's loyalty program that allows members to earn and redeem points for flights, upgrades, and other travel-related rewards.
-
E.
Wagenborgen
Wagenborgen is a village in the Dutch province of Groningen, located within the municipality of Eemsdelta.
- 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_69c00869d3308190af89b2453e0f7546 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c03937b4a88190819a1fd63fc3d3ed |
completed | March 22, 2026, 6:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0c07f9ab081909fe7727837fa7f7a |
completed | March 23, 2026, 4:24 a.m. |
| NEDg | Description generation | batch_69c0c1c02b608190a42850a15cf9d2c6 |
completed | March 23, 2026, 4:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0c443df6c8190b7b566fa46177cfd |
completed | March 23, 2026, 4:40 a.m. |
Created at: March 22, 2026, 4:01 p.m.