Triple

T6704154
Position Surface form Disambiguated ID Type / Status
Subject Oświęcim County E152956 entity
Predicate contains P35 FINISHED
Object Zator
Zator is a small historic town in southern Poland known for its medieval heritage and proximity to major tourist attractions in Lesser Poland.
 E614745 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: Zator | Statement: [Oświęcim County, contains, Zator]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Zator
Context triple: [Oświęcim County, contains, Zator]
  • A. Zenta
    Zenta is a historic town in northern Serbia, best known as the site of a decisive 1697 battle between the Habsburg Monarchy and the Ottoman Empire.
  • B. Talfer
    The Talfer is a river in South Tyrol, northern Italy, that flows through the city of Bolzano as a tributary of the Adige.
  • C. Kienbaum
    Kienbaum is a small village in the municipality of Grünheide (Mark) in Brandenburg, Germany, known in part for its nearby national Olympic training center.
  • D. Fiser
    Fiser is a surname variant of Fischer, commonly associated with Central or Eastern European origins.
  • E. Vacone
    Vacone is a small historic hilltop village in the Lazio region of central Italy, known for its scenic countryside and traditional rural character.
  • 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: Zator
Triple: [Oświęcim County, contains, Zator]
Generated description
Zator is a small historic town in southern Poland known for its medieval heritage and proximity to major tourist attractions in Lesser Poland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Zator
Target entity description: Zator is a small historic town in southern Poland known for its medieval heritage and proximity to major tourist attractions in Lesser Poland.
  • A. Zenta
    Zenta is a historic town in northern Serbia, best known as the site of a decisive 1697 battle between the Habsburg Monarchy and the Ottoman Empire.
  • B. Talfer
    The Talfer is a river in South Tyrol, northern Italy, that flows through the city of Bolzano as a tributary of the Adige.
  • C. Kienbaum
    Kienbaum is a small village in the municipality of Grünheide (Mark) in Brandenburg, Germany, known in part for its nearby national Olympic training center.
  • D. Fiser
    Fiser is a surname variant of Fischer, commonly associated with Central or Eastern European origins.
  • E. Vacone
    Vacone is a small historic hilltop village in the Lazio region of central Italy, known for its scenic countryside and traditional rural character.
  • 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_69c68807adbc8190b8632df42b39eda0 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d0e919748190953d893eb61724e7 completed March 27, 2026, 6:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69c70085ed8c81909cb407ab183ebbe5 completed March 27, 2026, 10:11 p.m.
NEDg Description generation batch_69c705ff86bc81909799d5122f7b8ee3 completed March 27, 2026, 10:34 p.m.
NED2 Entity disambiguation (via description) batch_69c7067c0acc8190bdbb9547e66374e4 completed March 27, 2026, 10:36 p.m.
Created at: March 27, 2026, 2:06 p.m.