Triple

T14743512
Position Surface form Disambiguated ID Type / Status
Subject Theodor Körner E346408 entity
Predicate placeOfBirth P1 FINISHED
Object Újszőny
Újszőny is a historical locality in present-day Komárom, Hungary, known as the birthplace of the Austrian poet and soldier Theodor Körner.
 E1116960 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: Újszőny | Statement: [Theodor Körner, placeOfBirth, Újszőny]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Újszőny
Context triple: [Theodor Körner, placeOfBirth, Újszőny]
  • A. Kasur
    Kasur is a historic city in Pakistan’s Punjab province, renowned as the home and burial place of the Sufi poet Bulleh Shah.
  • B. Cobija
    Cobija is a small Bolivian city in the Amazon rainforest near the border with Brazil, known as an important regional center for trade and rubber production.
  • C. Siirt blanket
    The Siirt blanket is a traditional Turkish woolen blanket, often made from mohair, renowned for its warmth, softness, and distinctive regional craftsmanship.
  • D. Pillow
    Pillow is the surname of Gideon J. Pillow, a 19th-century American lawyer, politician, and Confederate general in the U.S. Civil War.
  • E. Tiège
    Tiège is a village in the municipality of Jalhay in the province of Liège, Belgium.
  • 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: Újszőny
Triple: [Theodor Körner, placeOfBirth, Újszőny]
Generated description
Újszőny is a historical locality in present-day Komárom, Hungary, known as the birthplace of the Austrian poet and soldier Theodor Körner.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Újszőny
Target entity description: Újszőny is a historical locality in present-day Komárom, Hungary, known as the birthplace of the Austrian poet and soldier Theodor Körner.
  • A. Kasur
    Kasur is a historic city in Pakistan’s Punjab province, renowned as the home and burial place of the Sufi poet Bulleh Shah.
  • B. Cobija
    Cobija is a small Bolivian city in the Amazon rainforest near the border with Brazil, known as an important regional center for trade and rubber production.
  • C. Siirt blanket
    The Siirt blanket is a traditional Turkish woolen blanket, often made from mohair, renowned for its warmth, softness, and distinctive regional craftsmanship.
  • D. Pillow
    Pillow is the surname of Gideon J. Pillow, a 19th-century American lawyer, politician, and Confederate general in the U.S. Civil War.
  • E. Tiège
    Tiège is a village in the municipality of Jalhay in the province of Liège, Belgium.
  • 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_69d822e6f1c88190bc494d491a907114 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec7367a1c819081082cc355e385fa completed April 14, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdfb93e94c8190beba605e26d4552c completed May 8, 2026, 3:04 p.m.
NEDg Description generation batch_69fdff025e00819089ad734f74b64f26 completed May 8, 2026, 3:19 p.m.
NED2 Entity disambiguation (via description) batch_69fdff8bdefc8190a4a66c742e1cae83 completed May 8, 2026, 3:21 p.m.
Created at: April 10, 2026, 1:30 a.m.