Triple

T16221313
Position Surface form Disambiguated ID Type / Status
Subject JTEKT Corporation E393729 entity
Predicate hasBrand P1500 FINISHED
Object Koyo
Koyo is a well-known Japanese brand of bearings and automotive components owned by JTEKT Corporation.
 E1200734 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: Koyo | Statement: [JTEKT Corporation, hasBrand, Koyo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Koyo
Context triple: [JTEKT Corporation, hasBrand, Koyo]
  • A. Keiyo
    Keiyo is a Southern Nilotic language spoken primarily by the Keiyo people of Kenya’s Rift Valley region.
  • B. Kokonoe
    Kokonoe is a small mountainous town in Japan known for its hot springs, scenic highlands, and suspension bridges.
  • C. Koubia
    Koubia is a town in the Middle Guinea region of Guinea that serves as an important local administrative and commercial center.
  • D. Kamatero
    Kamatero is a suburban municipality within the Athens metropolitan area in Greece, known primarily as a residential district.
  • E. Kouya
    Kouya is a language of the Central Tano branch of the Niger-Congo family, spoken by a community in West Africa.
  • 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: Koyo
Triple: [JTEKT Corporation, hasBrand, Koyo]
Generated description
Koyo is a well-known Japanese brand of bearings and automotive components owned by JTEKT Corporation.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Koyo
Target entity description: Koyo is a well-known Japanese brand of bearings and automotive components owned by JTEKT Corporation.
  • A. Keiyo
    Keiyo is a Southern Nilotic language spoken primarily by the Keiyo people of Kenya’s Rift Valley region.
  • B. Kokonoe
    Kokonoe is a small mountainous town in Japan known for its hot springs, scenic highlands, and suspension bridges.
  • C. Koubia
    Koubia is a town in the Middle Guinea region of Guinea that serves as an important local administrative and commercial center.
  • D. Kamatero
    Kamatero is a suburban municipality within the Athens metropolitan area in Greece, known primarily as a residential district.
  • E. Kouya
    Kouya is a language of the Central Tano branch of the Niger-Congo family, spoken by a community in West Africa.
  • 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_69d87f204df88190a8f88923decf9835 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e227fbd88081909fac3f075d5ea7f4 completed April 17, 2026, 12:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0007987cd881908ebc01141028c0a5 completed May 10, 2026, 4:20 a.m.
NEDg Description generation batch_6a00081162348190ba0bfb55b8d01e6d completed May 10, 2026, 4:22 a.m.
NED2 Entity disambiguation (via description) batch_6a00087e244881908cefdfc6e4b46251 completed May 10, 2026, 4:24 a.m.
Created at: April 10, 2026, 5:03 a.m.