Triple

T26907996
Position Surface form Disambiguated ID Type / Status
Subject Wiseburn Unified School District E677306 entity
Predicate operates P24 FINISHED
Object Juan de Anza Elementary School
Juan de Anza Elementary School is a public elementary school in California that serves students in the Wiseburn Unified School District community.
E1752061 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: Juan de Anza Elementary School | Statement: [Wiseburn Unified School District, operates, Juan de Anza 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: Juan de Anza Elementary School
Triple: [Wiseburn Unified School District, operates, Juan de Anza Elementary School]
Generated description
Juan de Anza Elementary School is a public elementary school in California that serves students in the Wiseburn Unified School District community.

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_69eee9bcef1c8190be88586bb902bb9b completed April 27, 2026, 4:44 a.m.
NER Named-entity recognition batch_69f61fd723e08190b08f9f241d8afa7f completed May 2, 2026, 4:01 p.m.
NED1 Entity disambiguation (via context triple) batch_6a122990243c8190837736ede63ea664 completed May 23, 2026, 10:26 p.m.
NEDg Description generation batch_6a122ad103b08190b8eddc14442802f6 completed May 23, 2026, 10:31 p.m.
NED2 Entity disambiguation (via description) batch_6a122b453e888190a195e8247f682604 completed May 23, 2026, 10:33 p.m.
Created at: April 27, 2026, 6 a.m.