Triple

T9195031
Position Surface form Disambiguated ID Type / Status
Subject Rzeszów E220683 entity
Predicate hasSportsTeam P330 FINISHED
Object Stal Rzeszów
Stal Rzeszów is a Polish sports club best known for its football team, based in the city of Rzeszów.
E783315 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: Stal Rzeszów | Statement: [Rzeszów, hasSportsTeam, Stal Rzeszów]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stal Rzeszów
Context triple: [Rzeszów, hasSportsTeam, Stal Rzeszów]
  • A. Stal Mielec
    Stal Mielec is a Polish football club historically known as one of the country’s leading teams in the 1970s, winning multiple national championships and producing several prominent international players.
  • B. Huta Stalowa Wola
    Huta Stalowa Wola is a major Polish defense and heavy industry manufacturer known for producing artillery systems and armored vehicles.
  • C. Rodziński
    Rodziński is a Polish surname most notably associated with Artur Rodziński, a prominent 20th-century orchestral conductor.
  • D. Skrzyński
    Skrzyński is a Polish surname most notably associated with Aleksander Skrzyński, a prominent early 20th-century Polish politician and diplomat.
  • E. Ruda Śląska
    Ruda Śląska is an industrial city in southern Poland’s Silesian Voivodeship, known for its coal mining heritage and role within the Upper Silesian urban area.
  • 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: Stal Rzeszów
Triple: [Rzeszów, hasSportsTeam, Stal Rzeszów]
Generated description
Stal Rzeszów is a Polish sports club best known for its football team, based in the city of Rzeszów.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Stal Rzeszów
Target entity description: Stal Rzeszów is a Polish sports club best known for its football team, based in the city of Rzeszów.
  • A. Stal Mielec
    Stal Mielec is a Polish football club historically known as one of the country’s leading teams in the 1970s, winning multiple national championships and producing several prominent international players.
  • B. Huta Stalowa Wola
    Huta Stalowa Wola is a major Polish defense and heavy industry manufacturer known for producing artillery systems and armored vehicles.
  • C. Rodziński
    Rodziński is a Polish surname most notably associated with Artur Rodziński, a prominent 20th-century orchestral conductor.
  • D. Skrzyński
    Skrzyński is a Polish surname most notably associated with Aleksander Skrzyński, a prominent early 20th-century Polish politician and diplomat.
  • E. Ruda Śląska
    Ruda Śląska is an industrial city in southern Poland’s Silesian Voivodeship, known for its coal mining heritage and role within the Upper Silesian urban area.
  • 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_69ca83e7ba70819088b74866d9da2c30 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccd87c3a3c8190b60f19873ef6e1f8 completed April 1, 2026, 8:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69d05c313004819090fe0e5d4e7bc15e completed April 4, 2026, 12:32 a.m.
NEDg Description generation batch_69d05d138c288190a0eab9be6bd649c0 completed April 4, 2026, 12:36 a.m.
NED2 Entity disambiguation (via description) batch_69d05df1a0888190a2bdc48a159b865e completed April 4, 2026, 12:40 a.m.
Created at: March 30, 2026, 7:25 p.m.