Triple

T33696949
Position Surface form Disambiguated ID Type / Status
Subject Kern Community College District E863339 entity
Predicate oversees P46 FINISHED
Object Cerro Coso Community College
Cerro Coso Community College is a public community college in Eastern California offering associate degrees, certificates, and transfer programs across multiple campuses and online.
E2063526 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: Cerro Coso Community College | Statement: [Kern Community College District, oversees, Cerro Coso Community College]
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: Cerro Coso Community College
Triple: [Kern Community College District, oversees, Cerro Coso Community College]
Generated description
Cerro Coso Community College is a public community college in Eastern California offering associate degrees, certificates, and transfer programs across multiple campuses and online.

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_69f3498723a08190ac034339cc78eade completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f6fa8a58a481909892d42eb9f4a0fa completed May 3, 2026, 7:34 a.m.
NED1 Entity disambiguation (via context triple) batch_6a363c9b853081909190e69982f3563a completed June 20, 2026, 7:09 a.m.
NEDg Description generation batch_6a3643e37ad48190a77198c1c67519bf completed June 20, 2026, 7:40 a.m.
NED2 Entity disambiguation (via description) batch_6a3645aa5b488190afc501399e8e29ad completed June 20, 2026, 7:47 a.m.
Created at: May 1, 2026, 1:43 a.m.