Triple

T30576358
Position Surface form Disambiguated ID Type / Status
Subject Oxnard Union High School District E778255 entity
Predicate operates P24 FINISHED
Object Rancho Campana High School
Rancho Campana High School is a public high school in California known for its small-campus environment and specialized academy-based programs in fields such as engineering, arts, and biomedical sciences.
E1923493 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: Rancho Campana High School | Statement: [Oxnard Union High School District, operates, Rancho Campana High 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: Rancho Campana High School
Triple: [Oxnard Union High School District, operates, Rancho Campana High School]
Generated description
Rancho Campana High School is a public high school in California known for its small-campus environment and specialized academy-based programs in fields such as engineering, arts, and biomedical sciences.

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_69f2249f8c148190ae7eb3912cde112a completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f6893dc4e08190bd4fef06a9ba4247 completed May 2, 2026, 11:31 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2863ce9e448190a7393c370b06f96f completed June 9, 2026, 7:04 p.m.
NEDg Description generation batch_6a2867f80e2c81909ea8c4da72eb9753 completed June 9, 2026, 7:22 p.m.
NED2 Entity disambiguation (via description) batch_6a286885f2cc8190bc4de1e4f7239f4e completed June 9, 2026, 7:24 p.m.
Created at: April 29, 2026, 8:22 p.m.