Triple

T14866257
Position Surface form Disambiguated ID Type / Status
Subject Millennium Monument E349622 entity
Predicate hasStatue P1646 FINISHED
Object Huba
Huba is a historical Hungarian chieftain commemorated as one of the leaders of the Magyar tribes during the conquest of the Carpathian Basin.
 E1123553 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: Huba | Statement: [Millennium Monument, hasStatue, Huba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Huba
Context triple: [Millennium Monument, hasStatue, Huba]
  • A. Havah
    Havah is a transliteration of the Hebrew name for Eve, the first woman in the biblical creation narrative.
  • B. Houbie
    Houbie is the main village on the Shetland island of Fetlar in Scotland.
  • C. Hama
    Hama is a major city in west-central Syria, historically known for its ancient waterwheels (norias) on the Orontes River and its role as an important agricultural and industrial center.
  • D. Bimoba
    Bimoba are an ethnic group primarily inhabiting parts of northern Ghana and neighboring areas of Togo, known for their distinct language and cultural traditions.
  • E. Hannya
    Hannya is the enigmatic, mask-wearing antagonist in Ghostwire: Tokyo, leading a mysterious cult and orchestrating the mass disappearance of the city's population.
  • 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: Huba
Triple: [Millennium Monument, hasStatue, Huba]
Generated description
Huba is a historical Hungarian chieftain commemorated as one of the leaders of the Magyar tribes during the conquest of the Carpathian Basin.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Huba
Target entity description: Huba is a historical Hungarian chieftain commemorated as one of the leaders of the Magyar tribes during the conquest of the Carpathian Basin.
  • A. Havah
    Havah is a transliteration of the Hebrew name for Eve, the first woman in the biblical creation narrative.
  • B. Houbie
    Houbie is the main village on the Shetland island of Fetlar in Scotland.
  • C. Hama
    Hama is a major city in west-central Syria, historically known for its ancient waterwheels (norias) on the Orontes River and its role as an important agricultural and industrial center.
  • D. Bimoba
    Bimoba are an ethnic group primarily inhabiting parts of northern Ghana and neighboring areas of Togo, known for their distinct language and cultural traditions.
  • E. Hannya
    Hannya is the enigmatic, mask-wearing antagonist in Ghostwire: Tokyo, leading a mysterious cult and orchestrating the mass disappearance of the city's population.
  • 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_69ded5761c688190b4477cb081554b51 completed April 15, 2026, 12:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe650e8aec8190acd4a9cb9cad2039 completed May 8, 2026, 10:34 p.m.
NEDg Description generation batch_69fe65ac6a5c81908621dc17edc6b04f completed May 8, 2026, 10:37 p.m.
NED2 Entity disambiguation (via description) batch_69fe6697fe3881908aae42abe56d86f8 completed May 8, 2026, 10:41 p.m.
Created at: April 10, 2026, 1:55 a.m.