Triple
T13325401
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Martinair |
E317427
|
entity |
| Predicate | parentCompany |
P254
|
FINISHED |
| Object | KLM |
E31984
|
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: KLM | Statement: [Martinair, parentCompany, KLM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KLM Context triple: [Martinair, parentCompany, KLM]
-
A.
KLM
chosen
KLM is the flag carrier airline of the Netherlands and one of the world's oldest airlines still operating under its original name.
-
B.
KLM line
The KLM line was a legendary Soviet ice hockey forward trio featuring Vladimir Krutov, Igor Larionov, and Sergei Makarov, renowned for their skill, chemistry, and dominance in international play.
-
C.
KLM Cityhopper
KLM Cityhopper is a Dutch regional airline and subsidiary of KLM that operates short-haul flights across Europe, primarily feeding traffic into KLM’s main network.
-
D.
Transavia
Transavia is a Dutch low-cost airline operating scheduled and charter flights across Europe and North Africa.
-
E.
Brussels Airlines
Brussels Airlines is the flag carrier airline of Belgium, operating flights across Europe, Africa, and other regions as part of the Lufthansa Group.
- 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_69d806b4d62c81908d4ced1665414be5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d9992c1fec8190bcb6a6bb3c973a24 |
completed | April 11, 2026, 12:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7266cfb3c8190ac9ccb7696d02922 |
completed | May 3, 2026, 10:41 a.m. |
Created at: April 9, 2026, 9:30 p.m.