Triple
T2952257
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NetJets |
E79845
|
entity |
| Predicate | hasSubsidiary |
P254
|
FINISHED |
| Object | NetJets Aviation |
E79845
|
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: NetJets Aviation | Statement: [NetJets, hasSubsidiary, NetJets Aviation]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NetJets Aviation Context triple: [NetJets, hasSubsidiary, NetJets Aviation]
-
A.
NetJets
chosen
NetJets is a leading private aviation company that pioneered fractional jet ownership and provides private jet charter services worldwide.
-
B.
Gulfstream Aerospace
Gulfstream Aerospace is an American manufacturer renowned for its high-performance business jets used by corporate, government, and private clients worldwide.
-
C.
Textron Aviation
Textron Aviation is a major American aircraft manufacturer known for producing Cessna and Beechcraft airplanes for business, general aviation, and special mission use.
-
D.
Delta Private Jets
Delta Private Jets is a business aviation company offering on-demand private jet charter and related services under the Delta Air Lines brand.
-
E.
Peach Aviation
Peach Aviation is a Japanese low-cost airline based in Osaka that operates domestic and international flights primarily across East Asia.
- 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_69ad8b1276588190a374a0b12e0f7bdf |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad98fcea5c8190b7d80de942bcb4f7 |
completed | March 8, 2026, 3:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b12e1d59a48190b06ebe298590feb8 |
completed | March 11, 2026, 8:55 a.m. |
Created at: March 8, 2026, 2:57 p.m.