Triple

T32779403
Position Surface form Disambiguated ID Type / Status
Subject Linn-Mar Community School District E838308 entity
Predicate operates P24 FINISHED
Object Bowman Woods Elementary School
Bowman Woods Elementary School is a public elementary school in Iowa that serves young students as part of the Linn-Mar Community School District.
E2024224 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: Bowman Woods Elementary School | Statement: [Linn-Mar Community School District, operates, Bowman Woods 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: Bowman Woods Elementary School
Triple: [Linn-Mar Community School District, operates, Bowman Woods Elementary School]
Generated description
Bowman Woods Elementary School is a public elementary school in Iowa that serves young students as part of the Linn-Mar Community School District.

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_69f3493b83f48190be335cd42465cecf completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6cd481388819090aaaf931b9ac37f completed May 3, 2026, 4:21 a.m.
NED1 Entity disambiguation (via context triple) batch_6a34b162c530819094a0b6a279e3ff76 completed June 19, 2026, 3:02 a.m.
NEDg Description generation batch_6a34b28809fc819090b804d470dba1b3 completed June 19, 2026, 3:07 a.m.
NED2 Entity disambiguation (via description) batch_6a34b3356258819086890e71c40d1f9b completed June 19, 2026, 3:10 a.m.
Created at: May 1, 2026, 1:14 a.m.