Triple
T13802653
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hapag-Lloyd Flug |
E331678
|
entity |
| Predicate | parentOrganization |
P254
|
FINISHED |
| Object | TUI AG |
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 AG | Statement: [Hapag-Lloyd Flug, parentOrganization, TUI AG]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TUI AG Context triple: [Hapag-Lloyd Flug, parentOrganization, TUI AG]
-
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.
IAG
IAG is the three-letter FAA airport code for Niagara Falls International Airport in New York, serving the Niagara Falls region with commercial and general aviation flights.
-
E.
TUI fly Deutschland
TUI fly Deutschland is a German leisure airline that operates charter and scheduled flights to holiday destinations across Europe, North Africa, and the Middle East.
- 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_69d81c59f8808190a851bc56afdc55e9 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de025ded6c8190851c108ae559a355 |
completed | April 14, 2026, 9:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b08bd7c48190bcdf110ccd27c003 |
completed | May 3, 2026, 8:31 p.m. |
Created at: April 9, 2026, 10:12 p.m.