Triple
T8660290
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swissair |
E205529
|
entity |
| Predicate | mergerOf |
P402
|
FINISHED |
| Object | Ad Astra Aero |
E748922
|
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: Ad Astra Aero | Statement: [Swissair, mergerOf, Ad Astra Aero]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ad Astra Aero Context triple: [Swissair, mergerOf, Ad Astra Aero]
-
A.
Ad Astra Aero
chosen
Ad Astra Aero was an early Swiss aviation company that played a key role in the development of commercial air transport in Switzerland and later became part of Swissair’s origins.
-
B.
Air Astra
Air Astra is a Bangladeshi airline that operates domestic flights, primarily centered around Dhaka’s Hazrat Shahjalal International Airport.
-
C.
Astra
Astra is a prominent Asian work, likely a creative or literary piece, recognized for its cultural and artistic significance within Asia.
-
D.
Astra
Astra is an Italian manufacturer of heavy-duty off-road trucks and construction vehicles, known for its robust equipment used in mining, construction, and military applications.
-
E.
AeroLogic
AeroLogic is a German cargo airline operating long-haul freight services, primarily on behalf of DHL and Lufthansa Cargo.
- 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_69ca8350897c819086cde7596fbe5fe7 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc48701c748190a5f7bd9e2da0e5e9 |
completed | March 31, 2026, 10:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cef37efbf08190805fbb270a4bce37 |
completed | April 2, 2026, 10:53 p.m. |
Created at: March 30, 2026, 6:30 p.m.