Triple
T12714244
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | International Commerce Centre |
E303795
|
entity |
| Predicate | hasHotelBrand |
P25109
|
FINISHED |
| Object | The Ritz-Carlton |
E477860
|
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: The Ritz-Carlton | Statement: [International Commerce Centre, hasHotelBrand, The Ritz-Carlton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Ritz-Carlton Context triple: [International Commerce Centre, hasHotelBrand, The Ritz-Carlton]
-
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.
Park Hyatt
Park Hyatt is a luxury hotel brand known for its upscale accommodations, personalized service, and prime locations in major cities and resort destinations worldwide.
-
C.
Sheraton
Sheraton is a global upscale hotel brand known for its full-service accommodations and business-friendly amenities.
-
D.
Hilton
Hilton is a village and civil parish in South Derbyshire, England, known for its rapid modern expansion and residential developments.
-
E.
Grand Hyatt
Grand Hyatt is a global luxury hotel brand known for its upscale accommodations, extensive meeting facilities, and prominent locations in major cities worldwide.
- 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_69d7bdf084148190ab9d513dc0735af4 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9620a7554819083784897ff690652 |
completed | April 10, 2026, 8:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f67c802e248190865a6561ad1bf0b6 |
completed | May 2, 2026, 10:36 p.m. |
Created at: April 9, 2026, 5:23 p.m.