Triple

T9269356
Position Surface form Disambiguated ID Type / Status
Subject Ron E222782 entity
Predicate hasDialect P4251 FINISHED
Object Shagawu Ron
Shagawu Ron is a specific dialectal variety associated with the speech of Ron language speakers.
E788813 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: Shagawu Ron | Statement: [Ron, hasDialect, Shagawu Ron]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shagawu Ron
Context triple: [Ron, hasDialect, Shagawu Ron]
  • A. Shobu Yarlagadda
    Shobu Yarlagadda is an Indian film producer and co-founder of Arka Mediaworks, best known for backing the epic Baahubali film franchise.
  • B. Hyakuichi Shinron
    Hyakuichi Shinron is a major philosophical work by Japanese thinker Nishi Amane that helped introduce and systematize Western philosophy and logic in modern Japan.
  • C. Mahas Nobiin
    Mahas Nobiin is a dialect of the Nobiin Nubian language traditionally spoken by the Mahas people along the Nile in northern Sudan and southern Egypt.
  • D. Shimo Senbon
    Shimo Senbon is the lower area of Mount Yoshino famed for its dense groves of cherry trees that create spectacular spring blossom views.
  • E. Shōhō
    Shōhō was a Japanese era name (nengō) of the early Edo period, used for a brief span in the mid-17th century.
  • 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: Shagawu Ron
Triple: [Ron, hasDialect, Shagawu Ron]
Generated description
Shagawu Ron is a specific dialectal variety associated with the speech of Ron language speakers.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Shagawu Ron
Target entity description: Shagawu Ron is a specific dialectal variety associated with the speech of Ron language speakers.
  • A. Shobu Yarlagadda
    Shobu Yarlagadda is an Indian film producer and co-founder of Arka Mediaworks, best known for backing the epic Baahubali film franchise.
  • B. Hyakuichi Shinron
    Hyakuichi Shinron is a major philosophical work by Japanese thinker Nishi Amane that helped introduce and systematize Western philosophy and logic in modern Japan.
  • C. Mahas Nobiin
    Mahas Nobiin is a dialect of the Nobiin Nubian language traditionally spoken by the Mahas people along the Nile in northern Sudan and southern Egypt.
  • D. Shimo Senbon
    Shimo Senbon is the lower area of Mount Yoshino famed for its dense groves of cherry trees that create spectacular spring blossom views.
  • E. Shōhō
    Shōhō was a Japanese era name (nengō) of the early Edo period, used for a brief span in the mid-17th century.
  • 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_69ca841ffe208190aa7bcffbef2f8379 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd074ef7408190b213c09491918132 completed April 1, 2026, 11:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69d09c2239a08190b954c8c57ced8fd2 completed April 4, 2026, 5:05 a.m.
NEDg Description generation batch_69d09cf11e488190b61f4a61002454e6 completed April 4, 2026, 5:09 a.m.
NED2 Entity disambiguation (via description) batch_69d09e2450048190b5aa31507e54d6c8 completed April 4, 2026, 5:14 a.m.
Created at: March 30, 2026, 7:33 p.m.