Triple

T18304687
Position Surface form Disambiguated ID Type / Status
Subject Rhages E438451 entity
Predicate hasAlternativeName P39 FINISHED
Object Ragha NE NERFINISHED

How this triple was built (2 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: [Rhages, hasAlternativeName, Ragha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ragha
Context triple: [Rhages, hasAlternativeName, Ragha]
  • A. Ragha chosen
    Ragha is an ancient city in Iran, historically known as Shahr-e Rey, which is now a southern suburb of Tehran.
  • B. 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.
  • C. 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.
  • D. Azhara
    Azhara is a small village located in Georgia’s scenic Kodori Gorge region.
  • E. Rahesuk
    Rahesuk is a local language spoken in and around Vila Maumeta, likely belonging to the indigenous linguistic landscape of that region.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b915e3e881909125d760c15d0c29 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e5018256508190b024980e3a4a3ae9 completed April 19, 2026, 4:23 p.m.
Created at: April 10, 2026, 10:35 a.m.