Triple
T6609920
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TUI fly Belgium |
E149210
|
entity |
| Predicate | callsign |
P1565
|
FINISHED |
| Object |
BEAUTY
BEAUTY is the radio callsign used by the Belgian leisure airline TUI fly Belgium for its flight operations.
|
E602684
|
NE FINISHED |
How this triple was built (4 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: BEAUTY | Statement: [TUI fly Belgium, callsign, BEAUTY]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BEAUTY Context triple: [TUI fly Belgium, callsign, BEAUTY]
-
A.
Beauty
"Beauty" is an essay by Ralph Waldo Emerson that explores the nature, sources, and moral significance of beauty in human life and the natural world.
-
B.
Beauty
Beauty is a philosophical work by Roger Scruton that explores the nature, value, and experience of aesthetic judgment in art and everyday life.
-
C.
Beauty
Beauty is an immersive installation artwork by Olafur Eliasson that uses light, water, and atmospheric effects to create a shimmering, rainbow-like experience that explores perception and the nature of seeing.
-
D.
Beauty CULTure
Beauty CULTure is a photography exhibition that critically explores the ideals, pressures, and industry surrounding modern concepts of female beauty.
-
E.
HauteLook
HauteLook is an online flash-sale retailer specializing in limited-time discounts on fashion, beauty, and home goods.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: BEAUTY Triple: [TUI fly Belgium, callsign, BEAUTY]
Generated description
BEAUTY is the radio callsign used by the Belgian leisure airline TUI fly Belgium for its flight operations.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: BEAUTY Target entity description: BEAUTY is the radio callsign used by the Belgian leisure airline TUI fly Belgium for its flight operations.
-
A.
Beauty
"Beauty" is an essay by Ralph Waldo Emerson that explores the nature, sources, and moral significance of beauty in human life and the natural world.
-
B.
Beauty
Beauty is a philosophical work by Roger Scruton that explores the nature, value, and experience of aesthetic judgment in art and everyday life.
-
C.
Beauty
Beauty is an immersive installation artwork by Olafur Eliasson that uses light, water, and atmospheric effects to create a shimmering, rainbow-like experience that explores perception and the nature of seeing.
-
D.
Beauty CULTure
Beauty CULTure is a photography exhibition that critically explores the ideals, pressures, and industry surrounding modern concepts of female beauty.
-
E.
HauteLook
HauteLook is an online flash-sale retailer specializing in limited-time discounts on fashion, beauty, and home goods.
- F. None of above. chosen
Provenance (5 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_69c687ebc680819094caf71faba2efe2 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6af3301dc819082d427675c36aaa6 |
completed | March 27, 2026, 4:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6cbd228fc8190852fac2308233765 |
completed | March 27, 2026, 6:26 p.m. |
| NEDg | Description generation | batch_69c6cd417d288190868e9709deb4b28a |
completed | March 27, 2026, 6:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6ce6be1f88190bc8b90bf90c6dc55 |
completed | March 27, 2026, 6:37 p.m. |
Created at: March 27, 2026, 1:57 p.m.