Triple
T6045710
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hankyu Hanshin Hotels Co., Ltd. |
E134660
|
entity |
| Predicate | notableHotelBrandOperated |
P60713
|
FINISHED |
| Object |
Remm
Remm is a Japanese hotel brand known for its compact, design-focused “sleep-centric” business hotels operated by Hankyu Hanshin Hotels.
|
E564364
|
NE FINISHED |
How this triple was built (4 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: Remm | Statement: [Hankyu Hanshin Hotels Co., Ltd., notableHotelBrandOperated, Remm]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Remm Context triple: [Hankyu Hanshin Hotels Co., Ltd., notableHotelBrandOperated, Remm]
-
A.
Renya
Renya Mutaguchi was a Japanese general best known for commanding the ill-fated Imphal campaign in Burma during World War II.
-
B.
Ramel
Ramel is a Swedish surname most notably associated with the entertainer and composer Povel Ramel.
-
C.
Ramciel
Ramciel is a proposed master-planned city intended to become the future capital of South Sudan.
-
D.
Gemer
Gemer is a historical and geographical region in southern Slovakia known for its mining heritage, medieval castles, and karst landscapes.
-
E.
Rimush
Rimush was an Akkadian king of the 23rd century BCE, known for consolidating and brutally defending the empire established by his father, Sargon of Akkad.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Remm Triple: [Hankyu Hanshin Hotels Co., Ltd., notableHotelBrandOperated, Remm]
Generated description
Remm is a Japanese hotel brand known for its compact, design-focused “sleep-centric” business hotels operated by Hankyu Hanshin Hotels.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Remm Target entity description: Remm is a Japanese hotel brand known for its compact, design-focused “sleep-centric” business hotels operated by Hankyu Hanshin Hotels.
-
A.
Renya
Renya Mutaguchi was a Japanese general best known for commanding the ill-fated Imphal campaign in Burma during World War II.
-
B.
Ramel
Ramel is a Swedish surname most notably associated with the entertainer and composer Povel Ramel.
-
C.
Ramciel
Ramciel is a proposed master-planned city intended to become the future capital of South Sudan.
-
D.
Gemer
Gemer is a historical and geographical region in southern Slovakia known for its mining heritage, medieval castles, and karst landscapes.
-
E.
Rimush
Rimush was an Akkadian king of the 23rd century BCE, known for consolidating and brutally defending the empire established by his father, Sargon of Akkad.
- F. None of above. chosen
Provenance (5 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_69c00876a69881908088a2626d3b2666 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c056e41f98819089c205ba6138faf0 |
completed | March 22, 2026, 8:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c1139f53d881908f2aa8211fc7539f |
completed | March 23, 2026, 10:19 a.m. |
| NEDg | Description generation | batch_69c1153b6ce8819090a13d349ccd2d6c |
completed | March 23, 2026, 10:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c115acfe748190b91c88df81c2e1c2 |
completed | March 23, 2026, 10:27 a.m. |
Created at: March 22, 2026, 4:09 p.m.