Triple

T8989371
Position Surface form Disambiguated ID Type / Status
Subject Huni E214748 entity
Predicate hasVariantTransliteration P5923 FINISHED
Object Huny
Huny is an alternative transliteration of Huni, an ancient Egyptian pharaoh of the Third Dynasty.
E772101 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: Huny | Statement: [Huni, hasVariantTransliteration, Huny]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Huny
Context triple: [Huni, hasVariantTransliteration, Huny]
  • A. Hunza
    Hunza is a mountainous valley and popular tourist destination in northern Pakistan, renowned for its dramatic Karakoram scenery and traditionally long-lived local population.
  • B. Hunza
    Hunza was the principal city and political center of the Zaque rulers within the pre-Columbian Muisca Confederation in what is now central Colombia.
  • C. Hawniyaz
    Hawniyaz is a collaborative album blending Kurdish folk music with contemporary classical and improvisational elements, featuring virtuoso kamancheh player Kayhan Kalhor and other prominent Kurdish musicians.
  • D. Enying
    Enying is a small town in central Hungary known for its agricultural surroundings and location within Fejér County.
  • E. Horki
    Horki is a town in eastern Belarus known for its agricultural academy and regional administrative significance.
  • 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: Huny
Triple: [Huni, hasVariantTransliteration, Huny]
Generated description
Huny is an alternative transliteration of Huni, an ancient Egyptian pharaoh of the Third Dynasty.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Huny
Target entity description: Huny is an alternative transliteration of Huni, an ancient Egyptian pharaoh of the Third Dynasty.
  • A. Hunza
    Hunza is a mountainous valley and popular tourist destination in northern Pakistan, renowned for its dramatic Karakoram scenery and traditionally long-lived local population.
  • B. Hunza
    Hunza was the principal city and political center of the Zaque rulers within the pre-Columbian Muisca Confederation in what is now central Colombia.
  • C. Hawniyaz
    Hawniyaz is a collaborative album blending Kurdish folk music with contemporary classical and improvisational elements, featuring virtuoso kamancheh player Kayhan Kalhor and other prominent Kurdish musicians.
  • D. Enying
    Enying is a small town in central Hungary known for its agricultural surroundings and location within Fejér County.
  • E. Horki
    Horki is a town in eastern Belarus known for its agricultural academy and regional administrative significance.
  • 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_69ca839f76bc8190a4b7123cdd682199 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc687205c88190a4cdf12ee2cdfd14 completed April 1, 2026, 12:36 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfd0c58c94819095979b82a50cb77d completed April 3, 2026, 2:37 p.m.
NEDg Description generation batch_69cfd1a32a64819090d423a99ab75362 completed April 3, 2026, 2:41 p.m.
NED2 Entity disambiguation (via description) batch_69cfd250593881908312200ba7bba617 completed April 3, 2026, 2:44 p.m.
Created at: March 30, 2026, 7:04 p.m.