Triple

T17750334
Position Surface form Disambiguated ID Type / Status
Subject Gmina Szaflary E443095 entity
Predicate hasPart P35 FINISHED
Object Maruszyna
Maruszyna is a village in southern Poland, located in the Lesser Poland Voivodeship within Nowy Targ County.
E1520737 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: Maruszyna | Statement: [Gmina Szaflary, hasPart, Maruszyna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maruszyna
Context triple: [Gmina Szaflary, hasPart, Maruszyna]
  • A. Muszyna
    Muszyna is a spa and tourist town in southern Poland, known for its mineral springs and scenic mountain surroundings near the Slovak border.
  • B. Stryszawa
    Stryszawa is a village in southern Poland that serves as the administrative center of Gmina Stryszawa in Lesser Poland Voivodeship.
  • C. Wawrzeńczyce
    Wawrzeńczyce is a village in southern Poland that serves as the administrative center of the rural Gmina Igołomia-Wawrzeńczyce in Lesser Poland Voivodeship.
  • D. Magurka Wilkowicka
    Magurka Wilkowicka is a mountain peak in southern Poland, located in the Little Beskids range and popular for hiking and scenic views.
  • E. Mandryka
    Mandryka is a central male character in Richard Strauss’s opera "Arabella," portrayed as a wealthy landowner and the sincere, idealistic suitor of the heroine.
  • 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: Maruszyna
Triple: [Gmina Szaflary, hasPart, Maruszyna]
Generated description
Maruszyna is a village in southern Poland, located in the Lesser Poland Voivodeship within Nowy Targ County.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Maruszyna
Target entity description: Maruszyna is a village in southern Poland, located in the Lesser Poland Voivodeship within Nowy Targ County.
  • A. Muszyna
    Muszyna is a spa and tourist town in southern Poland, known for its mineral springs and scenic mountain surroundings near the Slovak border.
  • B. Stryszawa
    Stryszawa is a village in southern Poland that serves as the administrative center of Gmina Stryszawa in Lesser Poland Voivodeship.
  • C. Wawrzeńczyce
    Wawrzeńczyce is a village in southern Poland that serves as the administrative center of the rural Gmina Igołomia-Wawrzeńczyce in Lesser Poland Voivodeship.
  • D. Magurka Wilkowicka
    Magurka Wilkowicka is a mountain peak in southern Poland, located in the Little Beskids range and popular for hiking and scenic views.
  • E. Mandryka
    Mandryka is a central male character in Richard Strauss’s opera "Arabella," portrayed as a wealthy landowner and the sincere, idealistic suitor of the heroine.
  • 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_69d8b9ed3a2081909b2ec0d4dd2f4c37 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4841a401c8190ae1dc0ed7ae4cc26 completed April 19, 2026, 7:28 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0a8f01d6e4819096dcf105cf48bee6 completed May 18, 2026, 4:01 a.m.
NEDg Description generation batch_6a0a9374c1508190bd4d51b52fa55ede completed May 18, 2026, 4:20 a.m.
NED2 Entity disambiguation (via description) batch_6a0a93f3f8348190b9040d1c5cbc5a18 completed May 18, 2026, 4:22 a.m.
Created at: April 10, 2026, 10:10 a.m.