Triple
T5543546
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hotel Adlon Kempinski |
E145350
|
entity |
| Predicate | brand |
P1500
|
FINISHED |
| Object | Kempinski |
E310697
|
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: Kempinski | Statement: [Hotel Adlon Kempinski, brand, Kempinski]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kempinski Context triple: [Hotel Adlon Kempinski, brand, Kempinski]
-
A.
Kempinski Hotels
chosen
Kempinski Hotels is a luxury hotel group founded in Germany, known for operating high-end properties and historic grand hotels across Europe, the Middle East, Africa, and Asia.
-
B.
Steigenberger Hotels & Resorts
Steigenberger Hotels & Resorts is a German luxury hotel brand known for its upscale properties and refined European hospitality across key international destinations.
-
C.
Hilton
Hilton is a village and civil parish in South Derbyshire, England, known for its rapid modern expansion and residential developments.
-
D.
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.
-
E.
Kimpton
Kimpton is a rural civil parish and village in Hampshire, England, known for its historic church and countryside setting.
- 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_69c008fa64888190adae56c8f9ea4031 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01fc947bc81908d1f7b709392ec20 |
completed | March 22, 2026, 4:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c04cec35248190bae940a95e79a586 |
completed | March 22, 2026, 8:11 p.m. |
Created at: March 22, 2026, 3:35 p.m.