Triple

T14867164
Position Surface form Disambiguated ID Type / Status
Subject Samu Pecz E349645 entity
Predicate familyName P18 FINISHED
Object Pecz
Pecz is a Hungarian surname most notably associated with architect Samu Pecz.
 E1124364 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: Pecz | Statement: [Samu Pecz, familyName, Pecz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pecz
Context triple: [Samu Pecz, familyName, Pecz]
  • A. Pszczyna
    Pszczyna is a historic town in southern Poland known for its well-preserved castle complex and picturesque old town.
  • B. Chełmek
    Chełmek is a small town in southern Poland known historically for its shoe industry and its location near Oświęcim (Auschwitz).
  • C. Czorsztyn
    Czorsztyn is a small village in southern Poland known for its picturesque lakeside setting on the Dunajec River and the ruins of a medieval castle overlooking the Pieniny Mountains.
  • D. Tczew
    Tczew is a historic town in northern Poland on the Vistula River, known for its important railway bridges and role as a regional transport hub.
  • E. Choszczno
    Choszczno is a small town in northwestern Poland known for its lakes, forests, and role as a local administrative and service 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: Pecz
Triple: [Samu Pecz, familyName, Pecz]
Generated description
Pecz is a Hungarian surname most notably associated with architect Samu Pecz.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pecz
Target entity description: Pecz is a Hungarian surname most notably associated with architect Samu Pecz.
  • A. Pszczyna
    Pszczyna is a historic town in southern Poland known for its well-preserved castle complex and picturesque old town.
  • B. Chełmek
    Chełmek is a small town in southern Poland known historically for its shoe industry and its location near Oświęcim (Auschwitz).
  • C. Czorsztyn
    Czorsztyn is a small village in southern Poland known for its picturesque lakeside setting on the Dunajec River and the ruins of a medieval castle overlooking the Pieniny Mountains.
  • D. Tczew
    Tczew is a historic town in northern Poland on the Vistula River, known for its important railway bridges and role as a regional transport hub.
  • E. Choszczno
    Choszczno is a small town in northwestern Poland known for its lakes, forests, and role as a local administrative and service 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_69d822ed7e1881909b90fca143ad7e34 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded5776b848190bfe3a06ff261dc31 completed April 15, 2026, 12:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe651067cc8190b9c218ef1f802762 completed May 8, 2026, 10:34 p.m.
NEDg Description generation batch_69fe675dd7288190901df5f7806f9b3f completed May 8, 2026, 10:44 p.m.
NED2 Entity disambiguation (via description) batch_69fe67f2fab881908b8be1aa344ee5b5 completed May 8, 2026, 10:47 p.m.
Created at: April 10, 2026, 1:55 a.m.