Triple

T38298769
Position Surface form Disambiguated ID Type / Status
Subject Jefferson County Public Schools (Colorado) E1032165 entity
Predicate hasSchool P113 FINISHED
Object Chatfield Senior High School
Chatfield Senior High School is a public high school in Jefferson County, Colorado, serving students in the southwest Denver metropolitan area.
E2266992 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: Chatfield Senior High School | Statement: [Jefferson County Public Schools (Colorado), hasSchool, Chatfield Senior High School]
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: Chatfield Senior High School
Triple: [Jefferson County Public Schools (Colorado), hasSchool, Chatfield Senior High School]
Generated description
Chatfield Senior High School is a public high school in Jefferson County, Colorado, serving students in the southwest Denver metropolitan area.

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_69f76e0f2084819091299d021625c3fe completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69fcc618020c8190b055d8c8d4d7c050 completed May 7, 2026, 5:04 p.m.
NED1 Entity disambiguation (via context triple) batch_6a41b28e15788190acceb5d2635dc7a0 completed June 28, 2026, 11:47 p.m.
NEDg Description generation batch_6a41b2efbe18819084f47a57f2df2cd0 completed June 28, 2026, 11:49 p.m.
NED2 Entity disambiguation (via description) batch_6a41b354160881909a06fbeb7e583e15 completed June 28, 2026, 11:50 p.m.
Created at: May 3, 2026, 4:30 p.m.