Triple
T15139936
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arkefly |
E361656
|
entity |
| Predicate | brandOf |
P1500
|
FINISHED |
| Object | TUI Group |
E65777
|
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: TUI Group | Statement: [Arkefly, brandOf, TUI Group]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TUI Group Context triple: [Arkefly, brandOf, TUI Group]
-
A.
TUI Group (historical)
chosen
TUI Group (historical) was a major European tourism and travel conglomerate that owned and operated various airlines, tour operators, and travel agencies before its later restructuring and rebranding.
-
B.
TUI Airways
TUI Airways is a British charter and scheduled airline that primarily serves leisure destinations across Europe and worldwide as part of the TUI Group.
-
C.
TAP Group
TAP Group is the holding company that owns and oversees TAP Air Portugal and its related aviation and travel businesses.
-
D.
Travelers Group
Travelers Group was a major American financial services conglomerate that became best known for its landmark 1998 merger with Citicorp to form Citigroup.
-
E.
FirstGroup
FirstGroup is a major UK-based transport operator that runs bus and rail services across the United Kingdom and North America.
- 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_69d85a0759908190b8a051d2e2a1cbe6 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e005c46a248190a2364092d40274f3 |
completed | April 15, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fee5e4752481908e456279a1dfbff6 |
completed | May 9, 2026, 7:44 a.m. |
Created at: April 10, 2026, 3:07 a.m.