Triple

T1456312
Position Surface form Disambiguated ID Type / Status
Subject Lower Silesia E31408 entity
Predicate contains P35 FINISHED
Object Zgorzelec
Zgorzelec is a town in southwestern Poland on the Lusatian Neisse River, forming a twin city with Görlitz in Germany and serving as an important local cultural and transport hub.
 E222843 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: Zgorzelec | Statement: [Lower Silesia, contains, Zgorzelec]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Zgorzelec
Context triple: [Lower Silesia, contains, Zgorzelec]
  • A. Włoszczowa
    Włoszczowa is a town in south-central Poland known as the seat of Włoszczowa County and a local administrative and service center.
  • B. Kłodzko
    Kłodzko is a historic town in southwestern Poland known for its well-preserved medieval architecture and prominent hilltop fortress.
  • C. Kožlany
    Kožlany is a small town in the Czech Republic best known as the birthplace of former Czechoslovak president Edvard Beneš.
  • D. Ojców
    Ojców is a small village in southern Poland known as a gateway to the picturesque Ojców National Park in the Kraków-Częstochowa Upland.
  • E. Muszyna
    Muszyna is a spa and tourist town in southern Poland, known for its mineral springs and scenic mountain surroundings near the Slovak border.
  • 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: Zgorzelec
Triple: [Lower Silesia, contains, Zgorzelec]
Generated description
Zgorzelec is a town in southwestern Poland on the Lusatian Neisse River, forming a twin city with Görlitz in Germany and serving as an important local cultural and transport hub.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Zgorzelec
Target entity description: Zgorzelec is a town in southwestern Poland on the Lusatian Neisse River, forming a twin city with Görlitz in Germany and serving as an important local cultural and transport hub.
  • A. Włoszczowa
    Włoszczowa is a town in south-central Poland known as the seat of Włoszczowa County and a local administrative and service center.
  • B. Kłodzko
    Kłodzko is a historic town in southwestern Poland known for its well-preserved medieval architecture and prominent hilltop fortress.
  • C. Kožlany
    Kožlany is a small town in the Czech Republic best known as the birthplace of former Czechoslovak president Edvard Beneš.
  • D. Ojców
    Ojców is a small village in southern Poland known as a gateway to the picturesque Ojców National Park in the Kraków-Częstochowa Upland.
  • E. Muszyna
    Muszyna is a spa and tourist town in southern Poland, known for its mineral springs and scenic mountain surroundings near the Slovak border.
  • 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_69a49917dfc081909acdbdf5d684f1ef completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c581714881909bf4c2bad9645176 completed March 1, 2026, 11:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69ae02f8483c8190a72c79f5b60eb927 completed March 8, 2026, 11:15 p.m.
NEDg Description generation batch_69ae03e575a88190a93181eb9d9bc3eb completed March 8, 2026, 11:19 p.m.
NED2 Entity disambiguation (via description) batch_69ae0473aecc8190b3da07fb8fd18e81 completed March 8, 2026, 11:21 p.m.
Created at: March 1, 2026, 8 p.m.