Triple

T21680349
Position Surface form Disambiguated ID Type / Status
Subject Russellville R-VII School District E535089 entity
Predicate hasAbbreviation P43 FINISHED
Object R-VII
R-VII is the abbreviation for the Russellville R-VII School District, a public school district serving the Russellville area in Missouri.
E1496669 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: R-VII | Statement: [Russellville R-VII School District, hasAbbreviation, R-VII]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: R-VII
Context triple: [Russellville R-VII School District, hasAbbreviation, R-VII]
  • A. R7
    R7 is a commuter rail line within the Rodalies de Catalunya network serving the Barcelona metropolitan area in Catalonia, Spain.
  • B. R7
    R7 is a government office building in Oslo that forms part of Norway’s central administrative complex.
  • C. R-5
    R-5 is a motorway designated with the abbreviation R-5, typically referring to a regional or ring road route in a national highway network.
  • D. R-5
    The R-5 is an early Sikorsky military helicopter developed during World War II, known for advancing rotary-wing design and serving in roles such as rescue and liaison.
  • E. RA V
    RA V is the World Meteorological Organization’s Regional Association for the South-West Pacific, coordinating meteorological and hydrological activities among member countries in that region.
  • 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: R-VII
Triple: [Russellville R-VII School District, hasAbbreviation, R-VII]
Generated description
R-VII is the abbreviation for the Russellville R-VII School District, a public school district serving the Russellville area in Missouri.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: R-VII
Target entity description: R-VII is the abbreviation for the Russellville R-VII School District, a public school district serving the Russellville area in Missouri.
  • A. R7
    R7 is a government office building in Oslo that forms part of Norway’s central administrative complex.
  • B. R7
    R7 is a commuter rail line within the Rodalies de Catalunya network serving the Barcelona metropolitan area in Catalonia, Spain.
  • C. R-5
    R-5 is a motorway designated with the abbreviation R-5, typically referring to a regional or ring road route in a national highway network.
  • D. R-5
    The R-5 is an early Sikorsky military helicopter developed during World War II, known for advancing rotary-wing design and serving in roles such as rescue and liaison.
  • E. RA V
    RA V is the World Meteorological Organization’s Regional Association for the South-West Pacific, coordinating meteorological and hydrological activities among member countries in that region.
  • 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_69e0c469b6ec8190aee4cadd1527db91 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef8a12adf08190b9b450eb26a1f33c completed April 27, 2026, 4:08 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a1e1c9ad48190b2216c0c168343ae completed May 17, 2026, 7:59 p.m.
NEDg Description generation batch_6a0a1eac9b648190881c97d474762fc0 completed May 17, 2026, 8:01 p.m.
NED2 Entity disambiguation (via description) batch_6a0a1f3b77488190bfb73b9e83446bb3 completed May 17, 2026, 8:04 p.m.
Created at: April 16, 2026, 6:43 p.m.