Triple

T19957565
Position Surface form Disambiguated ID Type / Status
Subject Pirita-Kose-Kloostrimetsa Circuit E479724 entity
Predicate namedAfter P63 FINISHED
Object Kose
Kose is a settlement in northern Estonia known for lending its name to the historic Pirita-Kose-Kloostrimetsa motor racing circuit near Tallinn.
 E1404494 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: Kose | Statement: [Pirita-Kose-Kloostrimetsa Circuit, namedAfter, Kose]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kose
Context triple: [Pirita-Kose-Kloostrimetsa Circuit, namedAfter, Kose]
  • A. Neikea
    Neikea are minor Greek deities or personifications associated with quarrels, feuds, and grievances, traditionally counted among the many troublesome offspring of the goddess Eris.
  • B. Shiseido
    Shiseido is a major Japanese multinational cosmetics and skincare company known for its high-end beauty products and long-standing global presence.
  • C. Kao
    Kao is a volcanic island in the Haʻapai group of Tonga, notable for being one of the country's highest and most prominent volcanic peaks.
  • D. Kao
    Kao is a Chinese surname borne by numerous individuals, including notable figures in science, business, and the arts.
  • E. Daiso
    Daiso is a popular Japanese discount retail chain known for selling a wide variety of household goods and everyday items, often at a uniform low price.
  • 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: Kose
Triple: [Pirita-Kose-Kloostrimetsa Circuit, namedAfter, Kose]
Generated description
Kose is a settlement in northern Estonia known for lending its name to the historic Pirita-Kose-Kloostrimetsa motor racing circuit near Tallinn.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kose
Target entity description: Kose is a settlement in northern Estonia known for lending its name to the historic Pirita-Kose-Kloostrimetsa motor racing circuit near Tallinn.
  • A. Neikea
    Neikea are minor Greek deities or personifications associated with quarrels, feuds, and grievances, traditionally counted among the many troublesome offspring of the goddess Eris.
  • B. Shiseido
    Shiseido is a major Japanese multinational cosmetics and skincare company known for its high-end beauty products and long-standing global presence.
  • C. Kao
    Kao is a volcanic island in the Haʻapai group of Tonga, notable for being one of the country's highest and most prominent volcanic peaks.
  • D. Kao
    Kao is a Chinese surname borne by numerous individuals, including notable figures in science, business, and the arts.
  • E. Daiso
    Daiso is a popular Japanese discount retail chain known for selling a wide variety of household goods and everyday items, often at a uniform low price.
  • 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_69d8e523c19881909f9197037200dde6 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65af1b32c81908ebe0e2570ec06a9 completed April 20, 2026, 4:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07fdcaca3881908b8f3fb7e8862a12 completed May 16, 2026, 5:16 a.m.
NEDg Description generation batch_6a07fe60ce9881908b2ec495d99d701a completed May 16, 2026, 5:19 a.m.
NED2 Entity disambiguation (via description) batch_6a07ff024fa48190b0d68ad87dc25ef6 completed May 16, 2026, 5:22 a.m.
Created at: April 10, 2026, 1:54 p.m.