Triple

T674321
Position Surface form Disambiguated ID Type / Status
Subject Adam Buksa E13046 entity
Predicate memberOfSportsTeam P330 FINISHED
Object Górnik Łęczna
Górnik Łęczna is a Polish professional football club based in Łęczna that competes in the country’s league system.
E89733 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: Górnik Łęczna | Statement: [Adam Buksa, memberOfSportsTeam, Górnik Łęczna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Górnik Łęczna
Context triple: [Adam Buksa, memberOfSportsTeam, Górnik Łęczna]
  • A. Zagłębie Lubin
    Zagłębie Lubin is a Polish professional football club based in Lubin that competes in the country’s top league, the Ekstraklasa.
  • B. Lechia Gdańsk
    Lechia Gdańsk is a Polish professional football club based in Gdańsk, known for competing in the country’s top leagues and having a passionate local fanbase.
  • C. Arka Gdynia
    Arka Gdynia is a Polish professional football club based in the port city of Gdynia, known for competing in the country’s top leagues and domestic cup competitions.
  • D. Cracovia
    Cracovia is a historic Polish football club from Kraków, known as one of the oldest and most traditional teams in the country.
  • E. Pogoń Szczecin
    Pogoń Szczecin is a Polish professional football club based in Szczecin that competes in the country’s top league, the Ekstraklasa.
  • 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: Górnik Łęczna
Triple: [Adam Buksa, memberOfSportsTeam, Górnik Łęczna]
Generated description
Górnik Łęczna is a Polish professional football club based in Łęczna that competes in the country’s league system.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Górnik Łęczna
Target entity description: Górnik Łęczna is a Polish professional football club based in Łęczna that competes in the country’s league system.
  • A. Zagłębie Lubin
    Zagłębie Lubin is a Polish professional football club based in Lubin that competes in the country’s top league, the Ekstraklasa.
  • B. Lechia Gdańsk
    Lechia Gdańsk is a Polish professional football club based in Gdańsk, known for competing in the country’s top leagues and having a passionate local fanbase.
  • C. Arka Gdynia
    Arka Gdynia is a Polish professional football club based in the port city of Gdynia, known for competing in the country’s top leagues and domestic cup competitions.
  • D. Cracovia
    Cracovia is a historic Polish football club from Kraków, known as one of the oldest and most traditional teams in the country.
  • E. Pogoń Szczecin
    Pogoń Szczecin is a Polish professional football club based in Szczecin that competes in the country’s top league, the Ekstraklasa.
  • 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_69a4933d3bf88190972041cd8cf143b9 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4a02537d08190942ee5fc8c50610a completed March 1, 2026, 8:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69a65e3575388190a674df54e086fe2f completed March 3, 2026, 4:06 a.m.
NEDg Description generation batch_69a65e9a20748190b499182db9fc8cbb completed March 3, 2026, 4:07 a.m.
NED2 Entity disambiguation (via description) batch_69a65f13d140819086042d9b21f842f8 completed March 3, 2026, 4:09 a.m.
Created at: March 1, 2026, 7:36 p.m.