Triple

T34810785
Position Surface form Disambiguated ID Type / Status
Subject Linda Vista E1003492 entity
Predicate hasCulturalEvent P2955 FINISHED
Object Linda Vista Multicultural Fair
The Linda Vista Multicultural Fair is a community festival in the Linda Vista neighborhood that celebrates the area’s diverse cultures through music, food, performances, and family-friendly activities.
E2112990 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: Linda Vista Multicultural Fair | Statement: [Linda Vista, hasCulturalEvent, Linda Vista Multicultural Fair]
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: Linda Vista Multicultural Fair
Triple: [Linda Vista, hasCulturalEvent, Linda Vista Multicultural Fair]
Generated description
The Linda Vista Multicultural Fair is a community festival in the Linda Vista neighborhood that celebrates the area’s diverse cultures through music, food, performances, and family-friendly 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_69f76db600b88190989abdf08fce3b27 completed May 3, 2026, 3:45 p.m.
NER Named-entity recognition batch_69f77ab4a9dc8190ad41fb613f35ddad completed May 3, 2026, 4:41 p.m.
NED1 Entity disambiguation (via context triple) batch_6a376fb14640819097e6b172c6a4bf11 completed June 21, 2026, 4:59 a.m.
NEDg Description generation batch_6a3770935bb081908a9ee788ea4fced7 completed June 21, 2026, 5:03 a.m.
NED2 Entity disambiguation (via description) batch_6a37719bed38819094df932b534a7b6a completed June 21, 2026, 5:07 a.m.
Created at: May 3, 2026, 3:59 p.m.