Triple
T577213
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Casio |
E13780
|
entity |
| Predicate | hasSubsidiary |
P254
|
FINISHED |
| Object |
Casio Europe GmbH
Casio Europe GmbH is the European regional subsidiary of Casio, responsible for marketing, sales, and distribution of Casio products across Europe.
|
E13780
|
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: Casio Europe GmbH | Statement: [Casio, hasSubsidiary, Casio Europe GmbH]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Casio Europe GmbH Context triple: [Casio, hasSubsidiary, Casio Europe GmbH]
-
A.
Casio
Casio is a Japanese electronics company best known for its durable digital watches, calculators, and consumer electronics.
-
B.
Tokyo Tsushin Kogyo
Tokyo Tsushin Kogyo was the original name of the Japanese electronics company that later became globally known as Sony.
-
C.
Toshiba
Toshiba is a major Japanese multinational conglomerate known for its electronics, semiconductors, and information technology products and services.
-
D.
Thomson SA
Thomson SA was a major French electronics and media conglomerate known for its consumer electronics, broadcasting, and defense-related technologies.
-
E.
Carrier Corporation
Carrier Corporation is a leading global manufacturer of heating, ventilation, air conditioning (HVAC), and refrigeration systems.
- 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: Casio Europe GmbH Triple: [Casio, hasSubsidiary, Casio Europe GmbH]
Generated description
Casio Europe GmbH is the European regional subsidiary of Casio, responsible for marketing, sales, and distribution of Casio products across Europe.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Casio Europe GmbH Target entity description: Casio Europe GmbH is the European regional subsidiary of Casio, responsible for marketing, sales, and distribution of Casio products across Europe.
-
A.
Casio
chosen
Casio is a Japanese electronics company best known for its durable digital watches, calculators, and consumer electronics.
-
B.
Tokyo Tsushin Kogyo
Tokyo Tsushin Kogyo was the original name of the Japanese electronics company that later became globally known as Sony.
-
C.
Toshiba
Toshiba is a major Japanese multinational conglomerate known for its electronics, semiconductors, and information technology products and services.
-
D.
Thomson SA
Thomson SA was a major French electronics and media conglomerate known for its consumer electronics, broadcasting, and defense-related technologies.
-
E.
Carrier Corporation
Carrier Corporation is a leading global manufacturer of heating, ventilation, air conditioning (HVAC), and refrigeration systems.
- F. None of above.
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_69a4933fa4d88190a7949cc83c08c5c1 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49b68cc808190b1ba45bdad78443d |
completed | March 1, 2026, 8:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a50e23bce481908404040b848ba9c1 |
completed | March 2, 2026, 4:12 a.m. |
| NEDg | Description generation | batch_69a50ed652148190a84c0d2aa5307211 |
completed | March 2, 2026, 4:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a50f53c16c8190bbeb7fa550ed46b1 |
completed | March 2, 2026, 4:17 a.m. |
Created at: March 1, 2026, 7:33 p.m.