Triple
T14982740
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | de Havilland Comet |
E373620
|
entity |
| Predicate | operator |
P179
|
FINISHED |
| Object | Dan-Air |
E790009
|
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: Dan-Air | Statement: [de Havilland Comet, operator, Dan-Air]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dan-Air Context triple: [de Havilland Comet, operator, Dan-Air]
-
A.
Dan‑Air
chosen
Dan-Air was a British independent airline that operated charter and scheduled services from the 1950s until its acquisition by British Airways in 1992.
-
B.
Flynas
Flynas is a Saudi low-cost airline based in Riyadh that operates domestic and regional flights across the Middle East and beyond.
-
C.
Loganair
Loganair is a Scottish regional airline that operates domestic and short-haul international flights across the United Kingdom and nearby destinations.
-
D.
Crossair
Crossair was a former Swiss regional airline that served as the main predecessor to Swiss International Air Lines after the collapse of Swissair.
-
E.
Thomson Airways
Thomson Airways was a major UK-based charter and scheduled leisure airline that operated holiday flights to destinations worldwide before rebranding as TUI Airways.
- 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_69d85ccbbcd48190acb56e7cf104d8ad |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded6fe42a081909308f788fdf024d5 |
completed | April 15, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe8bf136e88190b3d812f50233c640 |
completed | May 9, 2026, 1:20 a.m. |
Created at: April 10, 2026, 2:52 a.m.