Triple

T38460122
Position Surface form Disambiguated ID Type / Status
Subject North Scott Community School District E912426 entity
Predicate operatesSchool P226 FINISHED
Object Ed White Elementary School
Ed White Elementary School is a public elementary school serving early-grade students in the North Scott Community School District in Iowa.
E2271593 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: Ed White Elementary School | Statement: [North Scott Community School District, operatesSchool, Ed White 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: Ed White Elementary School
Triple: [North Scott Community School District, operatesSchool, Ed White Elementary School]
Generated description
Ed White Elementary School is a public elementary school serving early-grade students in the North Scott Community School District in Iowa.

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_69f76e861d8c81908559031dc66e3c15 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69fcce05c6608190b2a8a2a15740a3bf completed May 7, 2026, 5:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a41ccb0ed2c8190a6989cb283774dc7 completed June 29, 2026, 1:38 a.m.
NEDg Description generation batch_6a41d0a0f8588190a81f45344b01c4f1 completed June 29, 2026, 1:55 a.m.
NED2 Entity disambiguation (via description) batch_6a41d1031f288190b07557545378d586 completed June 29, 2026, 1:57 a.m.
Created at: May 3, 2026, 4:31 p.m.