Triple
T10155341
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flynas |
E232761
|
entity |
| Predicate | callsign |
P1565
|
FINISHED |
| Object |
NAS EXPRESS
NAS EXPRESS is the airline callsign used by Flynas, a Saudi Arabian low-cost carrier.
|
E843652
|
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: NAS EXPRESS | Statement: [Flynas, callsign, NAS EXPRESS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NAS EXPRESS Context triple: [Flynas, callsign, NAS EXPRESS]
-
A.
UP Express
UP Express is a dedicated airport rail link in Toronto that provides fast, frequent train service between Union Station downtown and Toronto Pearson International Airport.
-
B.
PAL Express
PAL Express is a Philippine low-cost regional airline brand operating domestic and select international flights on behalf of Philippine Airlines.
-
C.
Universal Express
Universal Express is a paid line-skipping system used at Universal theme parks to reduce wait times for popular attractions.
-
D.
International Express
International Express is a nickname for New York City's 7 subway line, known for serving diverse immigrant neighborhoods across Queens and connecting them to Manhattan.
-
E.
LAN Express
LAN Express was a Chilean regional airline operating domestic and short-haul routes as a subsidiary brand of LAN Airlines (now part of LATAM Airlines Group).
- 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: NAS EXPRESS Triple: [Flynas, callsign, NAS EXPRESS]
Generated description
NAS EXPRESS is the airline callsign used by Flynas, a Saudi Arabian low-cost carrier.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: NAS EXPRESS Target entity description: NAS EXPRESS is the airline callsign used by Flynas, a Saudi Arabian low-cost carrier.
-
A.
UP Express
UP Express is a dedicated airport rail link in Toronto that provides fast, frequent train service between Union Station downtown and Toronto Pearson International Airport.
-
B.
PAL Express
PAL Express is a Philippine low-cost regional airline brand operating domestic and select international flights on behalf of Philippine Airlines.
-
C.
Universal Express
Universal Express is a paid line-skipping system used at Universal theme parks to reduce wait times for popular attractions.
-
D.
International Express
International Express is a nickname for New York City's 7 subway line, known for serving diverse immigrant neighborhoods across Queens and connecting them to Manhattan.
-
E.
LAN Express
LAN Express was a Chilean regional airline operating domestic and short-haul routes as a subsidiary brand of LAN Airlines (now part of LATAM Airlines Group).
- 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_69ca84885e48819088a31b127cf44904 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cdec3a5e7c819098b2f9ccbde7cf94 |
completed | April 2, 2026, 4:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2e6541e488190814e6395f219eb12 |
completed | April 5, 2026, 10:46 p.m. |
| NEDg | Description generation | batch_69d2e7408e58819083c43e334a87a09f |
completed | April 5, 2026, 10:50 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d2e7b854d08190ac2af642970b7f09 |
completed | April 5, 2026, 10:52 p.m. |
Created at: March 30, 2026, 9:09 p.m.