Triple

T17927487
Position Surface form Disambiguated ID Type / Status
Subject Tarnopol Voivodeship E448234 entity
Predicate containsCity P294 FINISHED
Object Zaleszczyki
Zaleszczyki is a historic town on the Dniester River, now in western Ukraine, known for its pre-war status as a popular resort and one of the warmest places in the former Polish territories.
 E1296928 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: Zaleszczyki | Statement: [Tarnopol Voivodeship, containsCity, Zaleszczyki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Zaleszczyki
Context triple: [Tarnopol Voivodeship, containsCity, Zaleszczyki]
  • A. Zbyszko
    Zbyszko is a Polish given name, traditionally used as a diminutive or variant of Zbigniew and known from medieval and literary contexts.
  • B. Liszki
    Liszki is a village in southern Poland that serves as the seat of the rural administrative district (gmina) of Liszki near the city of Kraków.
  • C. Ryczówek
    Ryczówek is a village in southern Poland located within the administrative district of Gmina Klucze in Lesser Poland Voivodeship.
  • D. Ząbki
    Ząbki is a suburban town in east-central Poland that functions as part of the Warsaw metropolitan area.
  • E. Żabieniec
    Żabieniec is a district of the Polish city of Łódź, known in part for the Łódź Żabieniec railway station that serves it.
  • 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: Zaleszczyki
Triple: [Tarnopol Voivodeship, containsCity, Zaleszczyki]
Generated description
Zaleszczyki is a historic town on the Dniester River, now in western Ukraine, known for its pre-war status as a popular resort and one of the warmest places in the former Polish territories.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Zaleszczyki
Target entity description: Zaleszczyki is a historic town on the Dniester River, now in western Ukraine, known for its pre-war status as a popular resort and one of the warmest places in the former Polish territories.
  • A. Zbyszko
    Zbyszko is a Polish given name, traditionally used as a diminutive or variant of Zbigniew and known from medieval and literary contexts.
  • B. Liszki
    Liszki is a village in southern Poland that serves as the seat of the rural administrative district (gmina) of Liszki near the city of Kraków.
  • C. Ryczówek
    Ryczówek is a village in southern Poland located within the administrative district of Gmina Klucze in Lesser Poland Voivodeship.
  • D. Ząbki
    Ząbki is a suburban town in east-central Poland that functions as part of the Warsaw metropolitan area.
  • E. Żabieniec
    Żabieniec is a district of the Polish city of Łódź, known in part for the Łódź Żabieniec railway station that serves it.
  • 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_69d8b9f79d14819095540856928f0e25 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4a54f29a88190b035d8473765bde5 completed April 19, 2026, 9:50 a.m.
NED1 Entity disambiguation (via context triple) batch_6a032136546c81909556406f96f8c04b completed May 12, 2026, 12:46 p.m.
NEDg Description generation batch_6a032282ce908190a484708ec9995d60 completed May 12, 2026, 12:52 p.m.
NED2 Entity disambiguation (via description) batch_6a032466070c819084e17d0bf5612844 completed May 12, 2026, 1 p.m.
Created at: April 10, 2026, 10:20 a.m.