Triple

T802492
Position Surface form Disambiguated ID Type / Status
Subject Wrocław E17157 entity
Predicate hasFootballClub P346 FINISHED
Object Śląsk Wrocław
Śląsk Wrocław is a Polish professional football club based in Wrocław that competes in the country’s top league and is one of the more prominent teams in the region.
E95516 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: Śląsk Wrocław | Statement: [Wrocław, hasFootballClub, Śląsk Wrocław]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Śląsk Wrocław
Context triple: [Wrocław, hasFootballClub, Śląsk Wrocław]
  • 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. ŁKS Łódź
    ŁKS Łódź is a historic Polish multi-sports club from Łódź, best known for its professional football team competing in the national league system.
  • C. Górnik Łęczna
    Górnik Łęczna is a Polish professional football club based in Łęczna that competes in the country’s league system.
  • 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: Śląsk Wrocław
Triple: [Wrocław, hasFootballClub, Śląsk Wrocław]
Generated description
Śląsk Wrocław is a Polish professional football club based in Wrocław that competes in the country’s top league and is one of the more prominent teams in the region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Śląsk Wrocław
Target entity description: Śląsk Wrocław is a Polish professional football club based in Wrocław that competes in the country’s top league and is one of the more prominent teams in the region.
  • 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. ŁKS Łódź
    ŁKS Łódź is a historic Polish multi-sports club from Łódź, best known for its professional football team competing in the national league system.
  • C. Górnik Łęczna
    Górnik Łęczna is a Polish professional football club based in Łęczna that competes in the country’s league system.
  • 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_69a49378b9c48190adbf5f62e5b7aca1 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4aabd9fc081908ccadd8e8769de2d completed March 1, 2026, 9:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69a68924e1048190ba60034c8b8b3b9e completed March 3, 2026, 7:09 a.m.
NEDg Description generation batch_69a68a0f581c8190bdb2a9bda9bce1fa completed March 3, 2026, 7:13 a.m.
NED2 Entity disambiguation (via description) batch_69a6d6042aac8190ba0b092c4b3df66e completed March 3, 2026, 12:37 p.m.
Created at: March 1, 2026, 7:38 p.m.