Triple

T29731551
Position Surface form Disambiguated ID Type / Status
Subject Murrieta Valley Unified School District E752334 entity
Predicate hasSchool P113 FINISHED
Object Vista Murrieta High School
Vista Murrieta High School is a large public high school in Murrieta, California, known for its strong academic programs, competitive athletics, and extensive student activities.
E1883334 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: Vista Murrieta High School | Statement: [Murrieta Valley Unified School District, hasSchool, Vista Murrieta 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: Vista Murrieta High School
Triple: [Murrieta Valley Unified School District, hasSchool, Vista Murrieta High School]
Generated description
Vista Murrieta High School is a large public high school in Murrieta, California, known for its strong academic programs, competitive athletics, and extensive student activities.

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_69f0d62a36a88190bf860f00da433ff8 completed April 28, 2026, 3:45 p.m.
NER Named-entity recognition batch_69f67330f92c8190bbfd0478bba8d17f completed May 2, 2026, 9:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a26c8e4da8c8190880787dc89889592 completed June 8, 2026, 1:51 p.m.
NEDg Description generation batch_6a26d43f2d008190acb2665930f3bcce completed June 8, 2026, 2:39 p.m.
NED2 Entity disambiguation (via description) batch_6a26d5a79cb08190885b36005f67303a completed June 8, 2026, 2:45 p.m.
Created at: April 28, 2026, 7:42 p.m.