Triple

T14867659
Position Surface form Disambiguated ID Type / Status
Subject Örs vezér tere E349657 entity
Predicate namedAfter P63 FINISHED
Object Örs vezér
Örs vezér is a legendary Hungarian tribal leader traditionally regarded as one of the early chieftains of the Magyars.
E1124372 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: Örs vezér | Statement: [Örs vezér tere, namedAfter, Örs vezér]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Örs vezér
Context triple: [Örs vezér tere, namedAfter, Örs vezér]
  • A. Raszar
    Raszar is a cinematographer known for his work on the film "Human Traffic."
  • B. Béla
    Béla was a common medieval Hungarian royal given name borne by several kings, most notably Béla IV of Hungary.
  • C. Vilmos
    Vilmos is a masculine given name of Hungarian origin, equivalent to William in English.
  • D. Teleki
    Teleki is a Hungarian noble family name most notably associated with Pál Teleki, a geographer and two-time prime minister of Hungary in the early 20th century.
  • E. Pál
    Pál is a Hungarian given name, equivalent to the English name Paul.
  • 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: Örs vezér
Triple: [Örs vezér tere, namedAfter, Örs vezér]
Generated description
Örs vezér is a legendary Hungarian tribal leader traditionally regarded as one of the early chieftains of the Magyars.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Örs vezér
Target entity description: Örs vezér is a legendary Hungarian tribal leader traditionally regarded as one of the early chieftains of the Magyars.
  • A. Raszar
    Raszar is a cinematographer known for his work on the film "Human Traffic."
  • B. Béla
    Béla was a common medieval Hungarian royal given name borne by several kings, most notably Béla IV of Hungary.
  • C. Vilmos
    Vilmos is a masculine given name of Hungarian origin, equivalent to William in English.
  • D. Teleki
    Teleki is a Hungarian noble family name most notably associated with Pál Teleki, a geographer and two-time prime minister of Hungary in the early 20th century.
  • E. Pál
    Pál is a Hungarian given name, equivalent to the English name Paul.
  • 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_69d822ee4f408190b6ac3b2fa434f0df 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.