Triple

T3963981
Position Surface form Disambiguated ID Type / Status
Subject Kraków County E85970 entity
Predicate contains P35 FINISHED
Object Zielonki
Zielonki is a village in southern Poland that functions as a suburban community just north of Kraków, blending residential areas with local services and small-scale agriculture.
 E402272 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: Zielonki | Statement: [Kraków County, contains, Zielonki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Zielonki
Context triple: [Kraków County, contains, Zielonki]
  • 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. Ciechocinek
    Ciechocinek is a Polish spa town renowned for its historic saline graduation towers and therapeutic health resorts.
  • C. Płośnica
    Płośnica is a village in northern Poland located in the Warmian-Masurian Voivodeship, known for its rural character and proximity to the region’s lakes and forests.
  • D. Rakoń
    Rakoń is a mountain peak in the Western Tatras on the Polish-Slovak border, popular with hikers for its scenic ridge views.
  • E. Ełk
    Ełk is a town in northeastern Poland known for its lakeside setting and role as a local economic and cultural center.
  • 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: Zielonki
Triple: [Kraków County, contains, Zielonki]
Generated description
Zielonki is a village in southern Poland that functions as a suburban community just north of Kraków, blending residential areas with local services and small-scale agriculture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Zielonki
Target entity description: Zielonki is a village in southern Poland that functions as a suburban community just north of Kraków, blending residential areas with local services and small-scale agriculture.
  • 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. Ciechocinek
    Ciechocinek is a Polish spa town renowned for its historic saline graduation towers and therapeutic health resorts.
  • C. Płośnica
    Płośnica is a village in northern Poland located in the Warmian-Masurian Voivodeship, known for its rural character and proximity to the region’s lakes and forests.
  • D. Rakoń
    Rakoń is a mountain peak in the Western Tatras on the Polish-Slovak border, popular with hikers for its scenic ridge views.
  • E. Ełk
    Ełk is a town in northeastern Poland known for its lakeside setting and role as a local economic and cultural center.
  • 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_69aed93a96908190bcbdbfa718f155bd completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef97326888190bbfe15b218e3112e completed March 9, 2026, 4:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b533bb92088190b7d0ba2eb92c3e80 completed March 14, 2026, 10:08 a.m.
NEDg Description generation batch_69b5358ce7e88190af1b9d8de3edba83 completed March 14, 2026, 10:16 a.m.
NED2 Entity disambiguation (via description) batch_69b535edf2088190b7bf14c6532ffc64 completed March 14, 2026, 10:18 a.m.
Created at: March 9, 2026, 3:31 p.m.