Triple

T10850175
Position Surface form Disambiguated ID Type / Status
Subject Grayling, Michigan E256122 entity
Predicate hasPublicHighSchool P113 FINISHED
Object Grayling High School
Grayling High School is the primary public secondary school serving students in the small northern Michigan community of Grayling.
E893185 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: Grayling High School | Statement: [Grayling, Michigan, hasPublicHighSchool, Grayling High School]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grayling High School
Context triple: [Grayling, Michigan, hasPublicHighSchool, Grayling High School]
  • A. Grant High School
    Grant High School is a secondary school that serves students from the Grant Park area.
  • B. Hall High School
    Hall High School is a public secondary school serving students in the West Hartford, Connecticut area.
  • C. Greenfield High School
    Greenfield High School is a public secondary school serving students in the city of Greenfield in western Massachusetts.
  • D. Greenfield High School
    Greenfield High School is a public secondary school serving students in the city of Greenfield in Monterey County, California.
  • E. Clinton High School
    Clinton High School is a public secondary school serving students in the city of Clinton and surrounding areas in Anderson County, Tennessee.
  • 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: Grayling High School
Triple: [Grayling, Michigan, hasPublicHighSchool, Grayling High School]
Generated description
Grayling High School is the primary public secondary school serving students in the small northern Michigan community of Grayling.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Grayling High School
Target entity description: Grayling High School is the primary public secondary school serving students in the small northern Michigan community of Grayling.
  • A. Grant High School
    Grant High School is a secondary school that serves students from the Grant Park area.
  • B. Hall High School
    Hall High School is a public secondary school serving students in the West Hartford, Connecticut area.
  • C. Greenfield High School
    Greenfield High School is a public secondary school serving students in the city of Greenfield in western Massachusetts.
  • D. Greenfield High School
    Greenfield High School is a public secondary school serving students in the city of Greenfield in Monterey County, California.
  • E. Clinton High School
    Clinton High School is a public secondary school serving students in the city of Clinton and surrounding areas in Anderson County, Tennessee.
  • 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_69d6aa81a5d08190aa86689061d1ddd2 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d75115e4a88190b77be46b63db0c84 completed April 9, 2026, 7:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69e2167717008190bd282f318e7f9769 completed April 17, 2026, 11:16 a.m.
NEDg Description generation batch_69e21d860d288190855ffbe60df50df9 completed April 17, 2026, 11:46 a.m.
NED2 Entity disambiguation (via description) batch_69e21f09be508190a7c497a7680cb59e completed April 17, 2026, 11:52 a.m.
Created at: April 8, 2026, 9:20 p.m.