Triple

T23308647
Position Surface form Disambiguated ID Type / Status
Subject Gdańsk Aniołki campus E590518 entity
Predicate district P2709 FINISHED
Object Aniołki
Aniołki is a district of Gdańsk, Poland, known for its academic facilities and the Gdańsk Aniołki campus.
E1581619 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: Aniołki | Statement: [Gdańsk Aniołki campus, district, Aniołki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aniołki
Context triple: [Gdańsk Aniołki campus, district, Aniołki]
  • A. Czarny Anioł
    Czarny Anioł is the famed honorific nickname of Polish singer Ewa Demarczyk, celebrated for her dark, dramatic stage presence and deeply emotional performances.
  • B. Mikołajki
    Mikołajki is a popular resort town in northeastern Poland, known for its picturesque lakes and status as a major sailing and tourist center in the Masurian Lake District.
  • C. Świątniki
    Świątniki is a village located within the administrative district of Gmina Obrazów in southeastern Poland.
  • D. Ciuślice
    Ciuślice is a village in south-central Poland located within the administrative district of Gmina Nowy Korczyn in the Świętokrzyskie Voivodeship.
  • E. Marysieńka
    Marysieńka is the affectionate Polish nickname of Marie Casimire Louise de La Grange d’Arquien, the French-born queen consort of King John III Sobieski of Poland.
  • 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: Aniołki
Triple: [Gdańsk Aniołki campus, district, Aniołki]
Generated description
Aniołki is a district of Gdańsk, Poland, known for its academic facilities and the Gdańsk Aniołki campus.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Aniołki
Target entity description: Aniołki is a district of Gdańsk, Poland, known for its academic facilities and the Gdańsk Aniołki campus.
  • A. Czarny Anioł
    Czarny Anioł is the famed honorific nickname of Polish singer Ewa Demarczyk, celebrated for her dark, dramatic stage presence and deeply emotional performances.
  • B. Mikołajki
    Mikołajki is a popular resort town in northeastern Poland, known for its picturesque lakes and status as a major sailing and tourist center in the Masurian Lake District.
  • C. Świątniki
    Świątniki is a village located within the administrative district of Gmina Obrazów in southeastern Poland.
  • D. Ciuślice
    Ciuślice is a village in south-central Poland located within the administrative district of Gmina Nowy Korczyn in the Świętokrzyskie Voivodeship.
  • E. Marysieńka
    Marysieńka is the affectionate Polish nickname of Marie Casimire Louise de La Grange d’Arquien, the French-born queen consort of King John III Sobieski of Poland.
  • 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_69e25d1d32188190948eb76909d1dcc3 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f197292fd08190bc364e1433dde213 completed April 29, 2026, 5:29 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c4c9e2f4c8190a7b7c89805d85745 completed May 19, 2026, 11:42 a.m.
NEDg Description generation batch_6a0c4fd38fa48190958edaece1496a94 completed May 19, 2026, 11:56 a.m.
NED2 Entity disambiguation (via description) batch_6a0c506b25ec819084b9522fa827abe7 completed May 19, 2026, 11:58 a.m.
Created at: April 17, 2026, 5:05 p.m.