Triple

T16031271
Position Surface form Disambiguated ID Type / Status
Subject Tupelo Buffalo Park and Zoo E388850 entity
Predicate city P40 FINISHED
Object Tupelo E89654 NE FINISHED

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: Tupelo | Statement: [Tupelo Buffalo Park and Zoo, city, Tupelo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tupelo
Context triple: [Tupelo Buffalo Park and Zoo, city, Tupelo]
  • A. Tupelo, Mississippi chosen
    Tupelo, Mississippi is a small city in northeastern Mississippi best known as the birthplace of Elvis Presley and for its role in Civil War and blues history.
  • B. Pocahontas, Mississippi
    Pocahontas, Mississippi is a small unincorporated community in Hinds County that forms part of the greater Jackson metropolitan region.
  • C. Union, Mississippi
    Union, Mississippi is a small town in central Mississippi known for its rural community character and location spanning Neshoba and Newton counties.
  • D. Columbia, Mississippi
    Columbia, Mississippi is a small city in southern Mississippi that serves as the county seat of Marion County and lies along the Pearl River.
  • E. Osyka, Mississippi
    Osyka, Mississippi is a small town in southern Mississippi near the Louisiana border, known for its rural character and historic ties to the railroad and timber industries.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d86dada3808190825d5f80d72fbe88 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e183384d848190988be7e68770f6ba completed April 17, 2026, 12:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffcf35ae808190aeb154a273c32a70 completed May 10, 2026, 12:20 a.m.
Created at: April 10, 2026, 4:56 a.m.