Triple

T17264152
Position Surface form Disambiguated ID Type / Status
Subject Stadion Lechii Gdańsk E419079 entity
Predicate locatedInNeighborhood P40 FINISHED
Object Wrzeszcz
Wrzeszcz is a central district of Gdańsk, Poland, known as a major residential, commercial, and transport hub of the city.
 E1283183 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: Wrzeszcz | Statement: [Stadion Lechii Gdańsk, locatedInNeighborhood, Wrzeszcz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wrzeszcz
Context triple: [Stadion Lechii Gdańsk, locatedInNeighborhood, Wrzeszcz]
  • A. Choszczno
    Choszczno is a small town in northwestern Poland known for its lakes, forests, and role as a local administrative and service center.
  • B. Kwidzyn
    Kwidzyn is a historic town in northern Poland known for its medieval Teutonic castle complex and Gothic cathedral.
  • C. Kościerzyna
    Kościerzyna is a historic town in northern Poland known as a local cultural and economic center within the Kashubian region.
  • D. 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.
  • E. Gryfice
    Gryfice is a historic town in northwestern Poland known for its medieval urban layout and remnants of defensive walls.
  • 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: Wrzeszcz
Triple: [Stadion Lechii Gdańsk, locatedInNeighborhood, Wrzeszcz]
Generated description
Wrzeszcz is a central district of Gdańsk, Poland, known as a major residential, commercial, and transport hub of the city.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Wrzeszcz
Target entity description: Wrzeszcz is a central district of Gdańsk, Poland, known as a major residential, commercial, and transport hub of the city.
  • A. Choszczno
    Choszczno is a small town in northwestern Poland known for its lakes, forests, and role as a local administrative and service center.
  • B. Kwidzyn
    Kwidzyn is a historic town in northern Poland known for its medieval Teutonic castle complex and Gothic cathedral.
  • C. Kościerzyna
    Kościerzyna is a historic town in northern Poland known as a local cultural and economic center within the Kashubian region.
  • D. 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.
  • E. Gryfice
    Gryfice is a historic town in northwestern Poland known for its medieval urban layout and remnants of defensive walls.
  • 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_69d886d9ab108190b70edd8d17aa1204 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42f4432fc81908fd90865822af1fa completed April 19, 2026, 1:26 a.m.
NED1 Entity disambiguation (via context triple) batch_6a02230dd4a4819086abd8ef3859fe15 completed May 11, 2026, 6:42 p.m.
NEDg Description generation batch_6a022c7dc2d48190b0e49b796196d7f4 completed May 11, 2026, 7:22 p.m.
NED2 Entity disambiguation (via description) batch_6a022cce8cfc8190a68a976b4611b234 completed May 11, 2026, 7:23 p.m.
Created at: April 10, 2026, 5:40 a.m.