Triple

T8254673
Position Surface form Disambiguated ID Type / Status
Subject Chota E193042 entity
Predicate alsoKnownAs P39 FINISHED
Object Chote
Chote is an alternative name for Chota, a town in the Chota District of the Cajamarca Region in northern Peru.
 E721062 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: Chote | Statement: [Chota, alsoKnownAs, Chote]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Chote
Context triple: [Chota, alsoKnownAs, Chote]
  • A. Chotan
    Chotan was one of the children of Börte, the principal wife of Genghis Khan, and thus a member of the early Mongol imperial family.
  • B. Chaleo
    Chaleo was a Thai entrepreneur best known as the co-founder of the Red Bull energy drink empire.
  • C. Chale
    Chale is a small coastal village on the southern side of the Isle of Wight in England, known for its rural character and proximity to dramatic sea cliffs.
  • D. Chotiner
    Chotiner is a surname most notably associated with Murray Chotiner, an American political strategist and key adviser to Richard Nixon.
  • E. Chotushkone
    Chotushkone is a Bengali thriller film structured around four interlinked stories, noted for its meta-cinematic narrative and direction by Srijit Mukherji.
  • 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: Chote
Triple: [Chota, alsoKnownAs, Chote]
Generated description
Chote is an alternative name for Chota, a town in the Chota District of the Cajamarca Region in northern Peru.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Chote
Target entity description: Chote is an alternative name for Chota, a town in the Chota District of the Cajamarca Region in northern Peru.
  • A. Chotan
    Chotan was one of the children of Börte, the principal wife of Genghis Khan, and thus a member of the early Mongol imperial family.
  • B. Chaleo
    Chaleo was a Thai entrepreneur best known as the co-founder of the Red Bull energy drink empire.
  • C. Chale
    Chale is a small coastal village on the southern side of the Isle of Wight in England, known for its rural character and proximity to dramatic sea cliffs.
  • D. Chotiner
    Chotiner is a surname most notably associated with Murray Chotiner, an American political strategist and key adviser to Richard Nixon.
  • E. Chotushkone
    Chotushkone is a Bengali thriller film structured around four interlinked stories, noted for its meta-cinematic narrative and direction by Srijit Mukherji.
  • 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_69ca82dfad9c8190b8cd18fb89f50f40 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb78f8eccc8190b43204bf2f8defc1 completed March 31, 2026, 7:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd3553b48881909cc72e443aad9539 completed April 1, 2026, 3:10 p.m.
NEDg Description generation batch_69cd37a71af481909e82aa29ae558c4a completed April 1, 2026, 3:20 p.m.
NED2 Entity disambiguation (via description) batch_69cd4f0055dc8190803a7c412533aec4 completed April 1, 2026, 4:59 p.m.
Created at: March 30, 2026, 5:48 p.m.