Triple

T31563531
Position Surface form Disambiguated ID Type / Status
Subject Winfield Unified School District 465 E805336 entity
Predicate operates P24 FINISHED
Object Country View Elementary School
Country View Elementary School is a public elementary school serving early-grade students in the Winfield, Kansas area.
E1968371 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: Country View Elementary School | Statement: [Winfield Unified School District 465, operates, Country View Elementary 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: Country View Elementary School
Triple: [Winfield Unified School District 465, operates, Country View Elementary School]
Generated description
Country View Elementary School is a public elementary school serving early-grade students in the Winfield, Kansas 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_69f348d2ee94819091918d1789398c29 completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f6a7ca9edc8190a222f6382a196472 completed May 3, 2026, 1:41 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2b2d979c34819098c464ee67f8c22c completed June 11, 2026, 9:50 p.m.
NEDg Description generation batch_6a2b4ad8c5488190b07d616fc101cbad completed June 11, 2026, 11:55 p.m.
NED2 Entity disambiguation (via description) batch_6a2b4e85f540819096d5a2540e07f702 completed June 12, 2026, 12:10 a.m.
Created at: April 30, 2026, 10:16 p.m.