Triple

T29368700
Position Surface form Disambiguated ID Type / Status
Subject Kirkwood R-VII School District E744792 entity
Predicate operates P24 FINISHED
Object North Kirkwood Middle School
North Kirkwood Middle School is a public middle school serving students in the Kirkwood, Missouri area as part of the local community’s secondary education system.
E1864522 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: North Kirkwood Middle School | Statement: [Kirkwood R-VII School District, operates, North Kirkwood Middle 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: North Kirkwood Middle School
Triple: [Kirkwood R-VII School District, operates, North Kirkwood Middle School]
Generated description
North Kirkwood Middle School is a public middle school serving students in the Kirkwood, Missouri area as part of the local community’s secondary education system.

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_69f0a79ba954819094597628112c6091 completed April 28, 2026, 12:27 p.m.
NER Named-entity recognition batch_69f669a8aa708190b4bb1e8bc56b0dd7 completed May 2, 2026, 9:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a25c1022770819098cda3c8420440a0 completed June 7, 2026, 7:05 p.m.
NEDg Description generation batch_6a25c545c54081909763d007a604877e completed June 7, 2026, 7:23 p.m.
NED2 Entity disambiguation (via description) batch_6a25c98658cc8190a3776dc98bf9bd8c completed June 7, 2026, 7:41 p.m.
Created at: April 28, 2026, 2:25 p.m.