Triple

T14786374
Position Surface form Disambiguated ID Type / Status
Subject Bench language E347535 entity
Predicate ethnicGroup P194 FINISHED
Object Bench people E867102 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: Bench people | Statement: [Bench language, ethnicGroup, Bench people]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bench people
Context triple: [Bench language, ethnicGroup, Bench people]
  • A. Bench people chosen
    Bench people are an indigenous ethnic group of southwestern Ethiopia known for their distinct language, cultural traditions, and agrarian lifestyle.
  • B. Bench
    Bench is an Afroasiatic Omotic language spoken primarily in southwestern Ethiopia by the Bench people.
  • C. Bench
    Bench is a surname most famously associated with Johnny Bench, the Hall of Fame Major League Baseball catcher.
  • D. Common Bench
    Common Bench is a historical English common law court formally known as the Court of Common Pleas, which primarily handled civil disputes between private individuals.
  • E. Black Sage Bench
    Black Sage Bench is a renowned wine-growing subregion in British Columbia’s Okanagan Valley, known for its warm, arid climate and high-quality red wines.
  • 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_69d822e9b9e08190bedcc31a163fda82 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69decaa083e481908336d58d026eec32 completed April 14, 2026, 11:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe388fc0e08190a758a1e0a4140909 completed May 8, 2026, 7:25 p.m.
Created at: April 10, 2026, 1:31 a.m.