Triple

T8977935
Position Surface form Disambiguated ID Type / Status
Subject Cedar Grove, Missouri E214442 entity
Predicate hasName P744 FINISHED
Object Cedar Grove
Cedar Grove is the name of several small unincorporated communities and localities in the U.S. state of Missouri.
 E769777 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: Cedar Grove | Statement: [Cedar Grove, Missouri, hasName, Cedar Grove]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cedar Grove
Context triple: [Cedar Grove, Missouri, hasName, Cedar Grove]
  • A. Cedar Grove
    Cedar Grove is a scenic glacially carved valley in California’s Sierra Nevada, known for its towering granite cliffs, lush forests, and access to hiking and river recreation within Kings Canyon National Park.
  • B. Cedar Grove
    Cedar Grove is a residential neighborhood in New Jersey served by NJ Transit's Butler rail station.
  • C. Brights Grove
    Brights Grove is a lakeside residential community and former village now forming part of the city of Sarnia in southwestern Ontario, Canada.
  • D. Blooming Grove
    Blooming Grove is a town in Dane County, Wisconsin, known for its suburban residential character near the city of Madison.
  • E. Elmwood Springs
    Elmwood Springs is a small, close-knit fictional American town created by Fannie Flagg and used as the setting for several of her interconnected novels.
  • 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: Cedar Grove
Triple: [Cedar Grove, Missouri, hasName, Cedar Grove]
Generated description
Cedar Grove is the name of several small unincorporated communities and localities in the U.S. state of Missouri.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cedar Grove
Target entity description: Cedar Grove is the name of several small unincorporated communities and localities in the U.S. state of Missouri.
  • A. Cedar Grove
    Cedar Grove is a scenic glacially carved valley in California’s Sierra Nevada, known for its towering granite cliffs, lush forests, and access to hiking and river recreation within Kings Canyon National Park.
  • B. Cedar Grove
    Cedar Grove is a residential neighborhood in New Jersey served by NJ Transit's Butler rail station.
  • C. Brights Grove
    Brights Grove is a lakeside residential community and former village now forming part of the city of Sarnia in southwestern Ontario, Canada.
  • D. Blooming Grove
    Blooming Grove is a town in Dane County, Wisconsin, known for its suburban residential character near the city of Madison.
  • E. Elmwood Springs
    Elmwood Springs is a small, close-knit fictional American town created by Fannie Flagg and used as the setting for several of her interconnected novels.
  • 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_69ca839ea8b88190922c6a326ffcc0d3 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc67a33c8481909125acf4b7f0a919 completed April 1, 2026, 12:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc96e7eb48190a3df410b1544b997 completed April 3, 2026, 2:06 p.m.
NEDg Description generation batch_69cfca6202a4819090404b7893a31ba7 completed April 3, 2026, 2:10 p.m.
NED2 Entity disambiguation (via description) batch_69cfcaeaf24c81908daadfe954413778 completed April 3, 2026, 2:12 p.m.
Created at: March 30, 2026, 7:02 p.m.