Triple

T13278092
Position Surface form Disambiguated ID Type / Status
Subject Ausgleich E316244 entity
Predicate HungarianName P27628 FINISHED
Object Kiegyezés
Kiegyezés is the Hungarian term for the Austro-Hungarian Compromise of 1867, which created the Dual Monarchy of Austria-Hungary by establishing a constitutional partnership between Austria and Hungary.
 E1030839 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: Kiegyezés | Statement: [Ausgleich, HungarianName, Kiegyezés]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kiegyezés
Context triple: [Ausgleich, HungarianName, Kiegyezés]
  • A. Zengő
    Zengő is a prominent peak in southern Hungary known for its scenic hiking trails and panoramic views over the Mecsek mountain range.
  • B. Zagyva
    Zagyva is a river in northern Hungary that flows through towns such as Salgótarján and Hatvan before joining the Tisza River.
  • C. Gyál
    Gyál is a town in central Hungary that functions as a suburban residential area near Budapest within Pest County.
  • D. Karcsag
    Karcsag is a town in eastern Hungary known as the birthplace of Nobel Prize–winning biochemist Avram Hershko.
  • E. Kissamos
    Kissamos is a coastal town and municipality on the western part of the Greek island of Crete, known for its nearby beaches and archaeological sites.
  • 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: Kiegyezés
Triple: [Ausgleich, HungarianName, Kiegyezés]
Generated description
Kiegyezés is the Hungarian term for the Austro-Hungarian Compromise of 1867, which created the Dual Monarchy of Austria-Hungary by establishing a constitutional partnership between Austria and Hungary.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kiegyezés
Target entity description: Kiegyezés is the Hungarian term for the Austro-Hungarian Compromise of 1867, which created the Dual Monarchy of Austria-Hungary by establishing a constitutional partnership between Austria and Hungary.
  • A. Zengő
    Zengő is a prominent peak in southern Hungary known for its scenic hiking trails and panoramic views over the Mecsek mountain range.
  • B. Zagyva
    Zagyva is a river in northern Hungary that flows through towns such as Salgótarján and Hatvan before joining the Tisza River.
  • C. Gyál
    Gyál is a town in central Hungary that functions as a suburban residential area near Budapest within Pest County.
  • D. Karcsag
    Karcsag is a town in eastern Hungary known as the birthplace of Nobel Prize–winning biochemist Avram Hershko.
  • E. Kissamos
    Kissamos is a coastal town and municipality on the western part of the Greek island of Crete, known for its nearby beaches and archaeological sites.
  • 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_69d806b349908190a9a61dd9323bf153 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99043fba88190872ede6f63e2fbcb completed April 11, 2026, 12:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69f70a56fa048190b32dcef31b978d9c completed May 3, 2026, 8:41 a.m.
NEDg Description generation batch_69f70b8f325c819097fb5f221ba28b9a completed May 3, 2026, 8:47 a.m.
NED2 Entity disambiguation (via description) batch_69f70c4c6f908190b2ebc2a90b049e59 completed May 3, 2026, 8:50 a.m.
Created at: April 9, 2026, 9:26 p.m.