Triple

T17412291
Position Surface form Disambiguated ID Type / Status
Subject Armant E423397 entity
Predicate hasAncientName P20952 FINISHED
Object Iuny
Iuny is the ancient Egyptian name for the city later known as Armant, an important religious and urban center in Upper Egypt.
 E1267344 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: Iuny | Statement: [Armant, hasAncientName, Iuny]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Iuny
Context triple: [Armant, hasAncientName, Iuny]
  • A. Iulis
    Iulis is an ancient Greek city, historically known as Ioulis, located on the island of Kea in the Cyclades.
  • B. Juli
    Juli is a given name, typically used as a shortened or variant form of names like Julia or Julian in various languages.
  • C. Juli
    Juli is a town in southern Peru that serves as an administrative and historical center on the shores of Lake Titicaca.
  • D. Meámbar
    Meámbar is a town and municipality located in the Comayagua Department of central Honduras.
  • E. Julayi
    Julayi is a 2012 Telugu-language action comedy film starring Allu Arjun, known for its blend of high-energy entertainment, stylish action, and commercial success.
  • 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: Iuny
Triple: [Armant, hasAncientName, Iuny]
Generated description
Iuny is the ancient Egyptian name for the city later known as Armant, an important religious and urban center in Upper Egypt.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Iuny
Target entity description: Iuny is the ancient Egyptian name for the city later known as Armant, an important religious and urban center in Upper Egypt.
  • A. Iulis
    Iulis is an ancient Greek city, historically known as Ioulis, located on the island of Kea in the Cyclades.
  • B. Juli
    Juli is a given name, typically used as a shortened or variant form of names like Julia or Julian in various languages.
  • C. Juli
    Juli is a town in southern Peru that serves as an administrative and historical center on the shores of Lake Titicaca.
  • D. Meámbar
    Meámbar is a town and municipality located in the Comayagua Department of central Honduras.
  • E. Julayi
    Julayi is a 2012 Telugu-language action comedy film starring Allu Arjun, known for its blend of high-energy entertainment, stylish action, and commercial success.
  • 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_69d889d7d27c819088486ce3f0627fa1 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43b0b56788190ba012788f32afb78 completed April 19, 2026, 2:16 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01a7fdb4348190a905b476379c3245 completed May 11, 2026, 9:57 a.m.
NEDg Description generation batch_6a01a886818881909f237f69c6d77f93 completed May 11, 2026, 9:59 a.m.
NED2 Entity disambiguation (via description) batch_6a01a9183410819083c8239e3ce38ea2 completed May 11, 2026, 10:02 a.m.
Created at: April 10, 2026, 5:46 a.m.