Triple
T17381853
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Virgin Points |
E422587
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Virgin Holidays |
—
|
NE NERFINISHED |
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: Virgin Holidays | Statement: [Virgin Points, associatedWith, Virgin Holidays]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Virgin Holidays Context triple: [Virgin Points, associatedWith, Virgin Holidays]
-
A.
Virgin Atlantic Holidays
chosen
Virgin Atlantic Holidays is a UK-based tour operator that offers package holidays and travel services, primarily featuring flights with Virgin Atlantic Airways.
-
B.
British Airways Holidays
British Airways Holidays is the tour-operating arm of British Airways that packages flights with hotels, car hire, and other travel services for leisure customers.
-
C.
TUI Cruises
TUI Cruises is a German cruise line known for its premium all-inclusive "Mein Schiff" fleet, operated as a joint venture between TUI Group and Royal Caribbean.
-
D.
Coral Travel
Coral Travel is a major international tour operator offering package holidays and travel services across popular leisure destinations.
-
E.
Avalon Travel
Avalon Travel is a publishing imprint best known for producing travel guides and related travel literature.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d889d6535c81908be333c01deaec4e |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a86d8cc81909281b22f5da87d70 |
completed | April 19, 2026, 2:14 a.m. |
Created at: April 10, 2026, 5:45 a.m.