Triple

T17669980
Position Surface form Disambiguated ID Type / Status
Subject Shahr-e Rey E440495 entity
Predicate hasAlternativeName P39 FINISHED
Object Ragha
Ragha is an ancient city in Iran, historically known as Shahr-e Rey, which is now a southern suburb of Tehran.
 E1281107 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: Ragha | Statement: [Shahr-e Rey, hasAlternativeName, Ragha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ragha
Context triple: [Shahr-e Rey, hasAlternativeName, Ragha]
  • A. Risha
    Risha is a traditional woven cloth worn by the Dimasa community, typically used as an upper garment or ceremonial attire that reflects their cultural identity and craftsmanship.
  • B. Nimrata
    Nimrata is a given name most prominently associated with Nimrata "Nikki" Haley, an American politician and former U.S. ambassador to the United Nations.
  • C. Azhara
    Azhara is a small village located in Georgia’s scenic Kodori Gorge region.
  • D. Rahesuk
    Rahesuk is a local language spoken in and around Vila Maumeta, likely belonging to the indigenous linguistic landscape of that region.
  • E. Ruhaya
    Ruhaya is a Bantu language spoken primarily by the Haya people of northwestern Tanzania.
  • 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: Ragha
Triple: [Shahr-e Rey, hasAlternativeName, Ragha]
Generated description
Ragha is an ancient city in Iran, historically known as Shahr-e Rey, which is now a southern suburb of Tehran.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ragha
Target entity description: Ragha is an ancient city in Iran, historically known as Shahr-e Rey, which is now a southern suburb of Tehran.
  • A. Risha
    Risha is a traditional woven cloth worn by the Dimasa community, typically used as an upper garment or ceremonial attire that reflects their cultural identity and craftsmanship.
  • B. Nimrata
    Nimrata is a given name most prominently associated with Nimrata "Nikki" Haley, an American politician and former U.S. ambassador to the United Nations.
  • C. Azhara
    Azhara is a small village located in Georgia’s scenic Kodori Gorge region.
  • D. Rahesuk
    Rahesuk is a local language spoken in and around Vila Maumeta, likely belonging to the indigenous linguistic landscape of that region.
  • E. Ruhaya
    Ruhaya is a Bantu language spoken primarily by the Haya people of northwestern Tanzania.
  • 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_69d8b9e87e18819087104a44dc4dc5b1 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e46f67f6188190a978c7c9f462064d completed April 19, 2026, 6 a.m.
NED1 Entity disambiguation (via context triple) batch_6a02166234f0819099c452808234e3e4 completed May 11, 2026, 5:48 p.m.
NEDg Description generation batch_6a0217ca2ec881908573b0423c3610f7 completed May 11, 2026, 5:54 p.m.
NED2 Entity disambiguation (via description) batch_6a0218636e048190a48bc7f066c7bee1 completed May 11, 2026, 5:56 p.m.
Created at: April 10, 2026, 9:59 a.m.