Triple

T33872870
Position Surface form Disambiguated ID Type / Status
Subject Julia Lazar Franco E868267 entity
Predicate taughtAt P1203 FINISHED
Object Yoga to the People (Bay Area)
Yoga to the People (Bay Area) was a donation-based yoga studio collective in the San Francisco Bay Area known for offering accessible, community-focused classes to students of all levels.
E2071492 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: Yoga to the People (Bay Area) | Statement: [Julia Lazar Franco, taughtAt, Yoga to the People (Bay Area)]
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: Yoga to the People (Bay Area)
Triple: [Julia Lazar Franco, taughtAt, Yoga to the People (Bay Area)]
Generated description
Yoga to the People (Bay Area) was a donation-based yoga studio collective in the San Francisco Bay Area known for offering accessible, community-focused classes to students of all levels.

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_69f34995029081909ede0f7df73d1a5e completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f70102f44481909880ca55459e2336 completed May 3, 2026, 8:02 a.m.
NED1 Entity disambiguation (via context triple) batch_6a367628a0348190a305ea8beab134b1 completed June 20, 2026, 11:14 a.m.
NEDg Description generation batch_6a3676e442208190b316373c4b23df03 completed June 20, 2026, 11:17 a.m.
NED2 Entity disambiguation (via description) batch_6a3677b8a3748190895cb5ccd2f90f6b completed June 20, 2026, 11:21 a.m.
Created at: May 1, 2026, 1:47 a.m.