Triple

T9189146
Position Surface form Disambiguated ID Type / Status
Subject Olecko E220535 entity
Predicate hasSportsClub P346 FINISHED
Object Czarni Olecko
Czarni Olecko is a Polish sports club based in the town of Olecko, best known for its local football team competing in the lower national leagues.
E783837 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: Czarni Olecko | Statement: [Olecko, hasSportsClub, Czarni Olecko]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Czarni Olecko
Context triple: [Olecko, hasSportsClub, Czarni Olecko]
  • A. Czarny Groń
    Czarny Groń is a mountain peak in southern Poland, located in the Maków Beskids range and known for its hiking and skiing opportunities.
  • B. Olek
    Olek is a common Polish diminutive form of the male given name Aleksander.
  • C. Zbyszek
    Zbyszek is a common Polish diminutive form of the male given name Zbigniew.
  • D. Grzywacz
    Grzywacz is the highest elevation on the island of Wolin in northwestern Poland, known for its forested slopes and coastal views.
  • E. Kowale Oleckie
    Kowale Oleckie is a village in northern Poland that serves as the seat of its local administrative district within the Warmian-Masurian Voivodeship.
  • 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: Czarni Olecko
Triple: [Olecko, hasSportsClub, Czarni Olecko]
Generated description
Czarni Olecko is a Polish sports club based in the town of Olecko, best known for its local football team competing in the lower national leagues.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Czarni Olecko
Target entity description: Czarni Olecko is a Polish sports club based in the town of Olecko, best known for its local football team competing in the lower national leagues.
  • A. Czarny Groń
    Czarny Groń is a mountain peak in southern Poland, located in the Maków Beskids range and known for its hiking and skiing opportunities.
  • B. Olek
    Olek is a common Polish diminutive form of the male given name Aleksander.
  • C. Zbyszek
    Zbyszek is a common Polish diminutive form of the male given name Zbigniew.
  • D. Grzywacz
    Grzywacz is the highest elevation on the island of Wolin in northwestern Poland, known for its forested slopes and coastal views.
  • E. Kowale Oleckie
    Kowale Oleckie is a village in northern Poland that serves as the seat of its local administrative district within the Warmian-Masurian Voivodeship.
  • 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_69ca83e6d77c81909862b7afef56b1bf completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccd5bd8c5c81909d0cdbcd7410fcee completed April 1, 2026, 8:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69d05c272f508190aade1769c88cf16d completed April 4, 2026, 12:32 a.m.
NEDg Description generation batch_69d05cda59f88190bcde5a91aec2f9dd completed April 4, 2026, 12:35 a.m.
NED2 Entity disambiguation (via description) batch_69d05ddd28008190b82c42220871e73f completed April 4, 2026, 12:39 a.m.
Created at: March 30, 2026, 7:24 p.m.