Triple

T16282019
Position Surface form Disambiguated ID Type / Status
Subject Vantaa E395287 entity
Predicate hasSportsClub P346 FINISHED
Object PK-35 Vantaa
PK-35 Vantaa is a Finnish football club based in the city of Vantaa, known for competing in the national league system.
 E1203326 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: PK-35 Vantaa | Statement: [Vantaa, hasSportsClub, PK-35 Vantaa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: PK-35 Vantaa
Context triple: [Vantaa, hasSportsClub, PK-35 Vantaa]
  • A. KTP Kotka
    KTP Kotka is a Finnish sports club from the city of Kotka, best known for its football and basketball teams competing in national leagues.
  • B. VL E.30 Kotka
    The VL E.30 Kotka was a Finnish two-seat reconnaissance and trainer biplane developed in the early 1930s for the Finnish Air Force.
  • C. VL Kotka
    VL Kotka was a Finnish reconnaissance and maritime patrol aircraft developed in the 1930s and used by the Finnish Air Force.
  • D. Finnish M39
    The Finnish M39 is a refined, domestically improved version of the Mosin–Nagant rifle known for its enhanced accuracy, sturdier construction, and use by Finnish forces during World War II.
  • E. Lukko Rauma
    Lukko Rauma is a Finnish professional ice hockey club from Rauma that competes in the country’s top league, Liiga.
  • 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: PK-35 Vantaa
Triple: [Vantaa, hasSportsClub, PK-35 Vantaa]
Generated description
PK-35 Vantaa is a Finnish football club based in the city of Vantaa, known for competing in the national league system.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: PK-35 Vantaa
Target entity description: PK-35 Vantaa is a Finnish football club based in the city of Vantaa, known for competing in the national league system.
  • A. KTP Kotka
    KTP Kotka is a Finnish sports club from the city of Kotka, best known for its football and basketball teams competing in national leagues.
  • B. VL E.30 Kotka
    The VL E.30 Kotka was a Finnish two-seat reconnaissance and trainer biplane developed in the early 1930s for the Finnish Air Force.
  • C. VL Kotka
    VL Kotka was a Finnish reconnaissance and maritime patrol aircraft developed in the 1930s and used by the Finnish Air Force.
  • D. Finnish M39
    The Finnish M39 is a refined, domestically improved version of the Mosin–Nagant rifle known for its enhanced accuracy, sturdier construction, and use by Finnish forces during World War II.
  • E. Lukko Rauma
    Lukko Rauma is a Finnish professional ice hockey club from Rauma that competes in the country’s top league, Liiga.
  • 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_69d87f22c7248190a54c949738441e2e completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e24910c6b881909ae5cc0908dd8eb2 completed April 17, 2026, 2:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0017c6b72081908a21e5099f463b62 completed May 10, 2026, 5:29 a.m.
NEDg Description generation batch_6a001876efb081909c0940ebcf265f15 completed May 10, 2026, 5:32 a.m.
NED2 Entity disambiguation (via description) batch_6a0018f6de84819087b8e97b0400c77d completed May 10, 2026, 5:34 a.m.
Created at: April 10, 2026, 5:05 a.m.