Triple

T7729796
Position Surface form Disambiguated ID Type / Status
Subject Stefan Czarniecki E175220 entity
Predicate placeOfBirth P1 FINISHED
Object Czarnca
Czarnca is a village in south-central Poland historically known as the birthplace and estate of the 17th-century Polish military commander Stefan Czarniecki.
 E684305 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: Czarnca | Statement: [Stefan Czarniecki, placeOfBirth, Czarnca]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Czarnca
Context triple: [Stefan Czarniecki, placeOfBirth, Czarnca]
  • A. Czarny Groń
    Czarny Groń is a mountain peak in southern Poland, located in the Maków Beskids range and known for its hiking and skiing opportunities.
  • B. Czeladź
    Czeladź is a historic industrial town in southern Poland, located in the Silesian metropolitan area near Katowice.
  • C. Ciecień
    Ciecień is a mountain peak in southern Poland that forms part of the Beskid Wyspowy range in the Western Carpathians.
  • D. Ruda
    Ruda is the former name of the global sportswear and athletic brand now known as Puma.
  • E. Chopok
    Chopok is a prominent mountain peak in central Slovakia’s Low Tatras range, popular for hiking, skiing, and panoramic alpine views.
  • 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: Czarnca
Triple: [Stefan Czarniecki, placeOfBirth, Czarnca]
Generated description
Czarnca is a village in south-central Poland historically known as the birthplace and estate of the 17th-century Polish military commander Stefan Czarniecki.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Czarnca
Target entity description: Czarnca is a village in south-central Poland historically known as the birthplace and estate of the 17th-century Polish military commander Stefan Czarniecki.
  • A. Czarny Groń
    Czarny Groń is a mountain peak in southern Poland, located in the Maków Beskids range and known for its hiking and skiing opportunities.
  • B. Czeladź
    Czeladź is a historic industrial town in southern Poland, located in the Silesian metropolitan area near Katowice.
  • C. Ciecień
    Ciecień is a mountain peak in southern Poland that forms part of the Beskid Wyspowy range in the Western Carpathians.
  • D. Ruda
    Ruda is the former name of the global sportswear and athletic brand now known as Puma.
  • E. Chopok
    Chopok is a prominent mountain peak in central Slovakia’s Low Tatras range, popular for hiking, skiing, and panoramic alpine views.
  • 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_69c6995e912c81909a49a2657103f786 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c703170650819095a1b073d67d231d completed March 27, 2026, 10:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8b52adf6481908cb78e7cc7c4266d completed March 29, 2026, 5:14 a.m.
NEDg Description generation batch_69c8b5e091048190a105cb6743a6d69d completed March 29, 2026, 5:17 a.m.
NED2 Entity disambiguation (via description) batch_69c8b68f44148190b08882625db98f96 completed March 29, 2026, 5:20 a.m.
Created at: March 27, 2026, 4:06 p.m.