Triple
T2992087
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beauvais–Tillé Airport |
E80779
|
entity |
| Predicate | focusCityFor |
P164
|
FINISHED |
| Object |
Blue Air
Blue Air is a Romanian low-cost airline that operated scheduled passenger flights across Europe.
|
E317407
|
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: Blue Air | Statement: [Beauvais–Tillé Airport, focusCityFor, Blue Air]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blue Air Context triple: [Beauvais–Tillé Airport, focusCityFor, Blue Air]
-
A.
Flying Blue
Flying Blue is the joint frequent flyer loyalty program of Air France–KLM and partner airlines, offering members miles, elite status levels, and travel-related rewards.
-
B.
Airblue
Airblue is a Pakistani low-cost airline that operates domestic and international flights, with a primary base at Jinnah International Airport in Karachi.
-
C.
Edelweiss Air
Edelweiss Air is a Swiss leisure airline based in Zurich that operates holiday and charter flights to vacation destinations worldwide.
-
D.
Flair Airlines
Flair Airlines is a Canadian ultra-low-cost carrier that operates domestic and select international flights, emphasizing budget-friendly travel options.
-
E.
Sky Airline
Sky Airline is a Chilean low-cost carrier that operates domestic and regional flights across South America.
- 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: Blue Air Triple: [Beauvais–Tillé Airport, focusCityFor, Blue Air]
Generated description
Blue Air is a Romanian low-cost airline that operated scheduled passenger flights across Europe.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Blue Air Target entity description: Blue Air is a Romanian low-cost airline that operated scheduled passenger flights across Europe.
-
A.
Flying Blue
Flying Blue is the joint frequent flyer loyalty program of Air France–KLM and partner airlines, offering members miles, elite status levels, and travel-related rewards.
-
B.
Airblue
Airblue is a Pakistani low-cost airline that operates domestic and international flights, with a primary base at Jinnah International Airport in Karachi.
-
C.
Edelweiss Air
Edelweiss Air is a Swiss leisure airline based in Zurich that operates holiday and charter flights to vacation destinations worldwide.
-
D.
Flair Airlines
Flair Airlines is a Canadian ultra-low-cost carrier that operates domestic and select international flights, emphasizing budget-friendly travel options.
-
E.
Sky Airline
Sky Airline is a Chilean low-cost carrier that operates domestic and regional flights across South America.
- 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_69ad8b16c3488190b47b6aa7a59a335b |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad99df69d08190a0e25efb0dc8d653 |
completed | March 8, 2026, 3:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b109039cfc8190a286c83df752967e |
completed | March 11, 2026, 6:17 a.m. |
| NEDg | Description generation | batch_69b10bc71c708190b1e620d41278c3e0 |
completed | March 11, 2026, 6:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b10c43a7c48190b63a7b3f0f180d44 |
completed | March 11, 2026, 6:31 a.m. |
Created at: March 8, 2026, 2:59 p.m.