Triple

T9251439
Position Surface form Disambiguated ID Type / Status
Subject Orzysz E222331 entity
Predicate hasSportsClub P346 FINISHED
Object Śniardwy Orzysz
Śniardwy Orzysz is a Polish sports club based in the town of Orzysz, best known for its local football team competing in the lower tiers of the national league system.
 E222331 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: Śniardwy Orzysz | Statement: [Orzysz, hasSportsClub, Śniardwy Orzysz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Śniardwy Orzysz
Context triple: [Orzysz, hasSportsClub, Śniardwy Orzysz]
  • A. Orzysz
    Orzysz is a small town in northeastern Poland known for its lakeside setting and proximity to extensive forests and military training grounds.
  • B. Świnoujście
    Świnoujście is a Polish port city and seaside resort on the Baltic Sea, known for its wide beaches, spa facilities, and strategic location at the mouth of the Świna River.
  • C. Orłowo
    Orłowo is a coastal district of Gdynia in northern Poland, known for its scenic cliffs, pier, and Baltic Sea beaches.
  • D. Łeba
    Łeba is a river in northern Poland that flows through the Pomeranian region to the Baltic Sea.
  • E. Ogrodzieniec
    Ogrodzieniec is a town in southern Poland best known for the ruins of its medieval castle in the Kraków-Częstochowa Upland.
  • 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: Śniardwy Orzysz
Triple: [Orzysz, hasSportsClub, Śniardwy Orzysz]
Generated description
Śniardwy Orzysz is a Polish sports club based in the town of Orzysz, best known for its local football team competing in the lower tiers of the national league system.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Śniardwy Orzysz
Target entity description: Śniardwy Orzysz is a Polish sports club based in the town of Orzysz, best known for its local football team competing in the lower tiers of the national league system.
  • A. Orzysz chosen
    Orzysz is a small town in northeastern Poland known for its lakeside setting and proximity to extensive forests and military training grounds.
  • B. Świnoujście
    Świnoujście is a Polish port city and seaside resort on the Baltic Sea, known for its wide beaches, spa facilities, and strategic location at the mouth of the Świna River.
  • C. Orłowo
    Orłowo is a coastal district of Gdynia in northern Poland, known for its scenic cliffs, pier, and Baltic Sea beaches.
  • D. Łeba
    Łeba is a river in northern Poland that flows through the Pomeranian region to the Baltic Sea.
  • E. Ogrodzieniec
    Ogrodzieniec is a town in southern Poland best known for the ruins of its medieval castle in the Kraków-Częstochowa Upland.
  • F. None of above.

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_69ca841d2b18819089f9faf5b2c2aec0 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd05fb1454819098f452846ca4ca61 completed April 1, 2026, 11:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0780650648190bc85452678268134 completed April 4, 2026, 2:31 a.m.
NEDg Description generation batch_69d080275cdc8190bb900671756bacb8 completed April 4, 2026, 3:06 a.m.
NED2 Entity disambiguation (via description) batch_69d080c936348190a3bfda72ff5ec5c0 completed April 4, 2026, 3:08 a.m.
Created at: March 30, 2026, 7:31 p.m.