Triple
T19707278
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Ritz-Carlton portfolio |
E473250
|
entity |
| Predicate | includes |
P1393
|
FINISHED |
| Object | The Ritz-Carlton hotels |
—
|
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: The Ritz-Carlton hotels | Statement: [The Ritz-Carlton portfolio, includes, The Ritz-Carlton hotels]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Ritz-Carlton hotels Context triple: [The Ritz-Carlton portfolio, includes, The Ritz-Carlton hotels]
-
A.
The Ritz-Carlton Hotel Company
chosen
The Ritz-Carlton Hotel Company is a luxury hotel chain renowned worldwide for its high-end accommodations and exceptional service standards.
-
B.
Fairmont Hotels & Resorts
Fairmont Hotels & Resorts is a global luxury hotel and resort brand known for its historic landmark properties and upscale accommodations.
-
C.
Hilton
Hilton is a village and civil parish in South Derbyshire, England, known for its rapid modern expansion and residential developments.
-
D.
Hilton
Hilton is a global hospitality company that operates a worldwide portfolio of hotels and resorts across multiple brands.
-
E.
Hilton
Hilton is a common English given name used by various notable individuals across sports, entertainment, and other fields.
- 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_69d8e516dd048190a0b6c93ea3e71f58 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e642bb5cd4819090e4c62bd74c4324 |
completed | April 20, 2026, 3:14 p.m. |
Created at: April 10, 2026, 1:46 p.m.