Triple

T8254671
Position Surface form Disambiguated ID Type / Status
Subject Chota E193042 entity
Predicate precededBy P97 FINISHED
Object Tanasi
Tanasi was a historic Overhill Cherokee town in present-day Tennessee that gave the state its name and served as an early political center for the Cherokee.
 E721060 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: Tanasi | Statement: [Chota, precededBy, Tanasi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tanasi
Context triple: [Chota, precededBy, Tanasi]
  • A. Yura
    Yura is a common Slavic diminutive form of the male given name Yuri (or Yuriy), often used as a familiar or affectionate nickname.
  • B. Omushkego
    Omushkego are a Cree-speaking Indigenous people of the western James Bay and Hudson Bay lowlands in northern Canada, with a distinct culture, history, and relationship to the muskeg landscape.
  • C. Meneghin
    Meneghin is an Italian surname most prominently associated with legendary basketball player Dino Meneghin.
  • D. Yenakiieve
    Yenakiieve is an industrial city in eastern Ukraine, historically known for its coal mining and metallurgical industries.
  • E. Ometo
    Ometo is another name for the Wolaytta language, an Omotic language spoken primarily in southwestern Ethiopia.
  • 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: Tanasi
Triple: [Chota, precededBy, Tanasi]
Generated description
Tanasi was a historic Overhill Cherokee town in present-day Tennessee that gave the state its name and served as an early political center for the Cherokee.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tanasi
Target entity description: Tanasi was a historic Overhill Cherokee town in present-day Tennessee that gave the state its name and served as an early political center for the Cherokee.
  • A. Yura
    Yura is a common Slavic diminutive form of the male given name Yuri (or Yuriy), often used as a familiar or affectionate nickname.
  • B. Omushkego
    Omushkego are a Cree-speaking Indigenous people of the western James Bay and Hudson Bay lowlands in northern Canada, with a distinct culture, history, and relationship to the muskeg landscape.
  • C. Meneghin
    Meneghin is an Italian surname most prominently associated with legendary basketball player Dino Meneghin.
  • D. Yenakiieve
    Yenakiieve is an industrial city in eastern Ukraine, historically known for its coal mining and metallurgical industries.
  • E. Ometo
    Ometo is another name for the Wolaytta language, an Omotic language spoken primarily in southwestern Ethiopia.
  • 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.