Triple
T8620168
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Virgin Group |
E204142
|
entity |
| Predicate | brandOwner |
P347
|
FINISHED |
| Object | Virgin Hotels |
E202740
|
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: Virgin Hotels | Statement: [Virgin Group, brandOwner, Virgin Hotels]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Virgin Hotels Context triple: [Virgin Group, brandOwner, Virgin Hotels]
-
A.
Virgin Hotels
chosen
Virgin Hotels is a lifestyle-focused hotel chain known for its modern design, tech-friendly amenities, and guest-centric service, operating in major cities across the United States and beyond.
-
B.
Mirage Resorts
Mirage Resorts was a prominent Las Vegas-based casino and resort company known for developing some of the Strip’s most iconic luxury properties.
-
C.
Wynn Las Vegas
Wynn Las Vegas is a luxury resort and casino on the Las Vegas Strip known for its upscale accommodations, fine dining, and high-end entertainment and shopping.
-
D.
Wynn
Wynn is a given name that can be used for both males and females, often associated with English or Welsh origins.
-
E.
Wynn Resorts
Wynn Resorts is a luxury hotel and casino development company known for its high-end integrated resorts in Las Vegas and Macau.
- 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_69ca832ceab8819096e4a9f546695079 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cc471458f48190a6d8858f8074727d |
completed | March 31, 2026, 10:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cebbd49cc8819093555edf5ff0acaa |
completed | April 2, 2026, 6:56 p.m. |
Created at: March 30, 2026, 6:26 p.m.