Triple
T2992363
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Martinair |
E80785
|
entity |
| Predicate | alliance |
P600
|
FINISHED |
| Object | SkyTeam Cargo |
E4870
|
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: SkyTeam Cargo | Statement: [Martinair, alliance, SkyTeam Cargo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SkyTeam Cargo Context triple: [Martinair, alliance, SkyTeam Cargo]
-
A.
Lufthansa Cargo
Lufthansa Cargo is the air freight and logistics division of the Lufthansa Group, operating a global network for transporting cargo by air.
-
B.
Etihad Cargo
Etihad Cargo is the freight and logistics division of Etihad Airways, providing global air cargo services across an international network.
-
C.
Qatar Airways Cargo
Qatar Airways Cargo is the dedicated air freight division of Qatar Airways, operating a global network of cargo services using a fleet of freighter aircraft and belly-hold capacity on passenger flights.
-
D.
SkyTeam
chosen
SkyTeam is a global airline alliance that brings together multiple international carriers to coordinate routes, services, and frequent flyer benefits.
-
E.
EuroAtlantic Airways
EuroAtlantic Airways is a Portuguese charter airline known for operating long-haul and wet-lease services for other carriers worldwide.
- 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_69ad8b16c3488190b47b6aa7a59a335b |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad99e12c5c8190af7cc20e4c48bf45 |
completed | March 8, 2026, 3:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b109039cfc8190a286c83df752967e |
completed | March 11, 2026, 6:17 a.m. |
Created at: March 8, 2026, 2:59 p.m.