Triple

T5332828
Position Surface form Disambiguated ID Type / Status
Subject L Taraval E123349 entity
Predicate connectsWith P37 FINISHED
Object M Ocean View E123350 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: M Ocean View | Statement: [L Taraval, connectsWith, M Ocean View]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: M Ocean View
Context triple: [L Taraval, connectsWith, M Ocean View]
  • A. M Ocean View chosen
    M Ocean View is a light rail line in San Francisco’s Muni Metro system that runs from downtown to the southwestern neighborhoods near San Francisco State University and the Ocean View district.
  • B. Ocean Point
    Ocean Point was the original name of what is now known as Oceanside station, a rail stop in Oceanside, New York.
  • C. Pier and Ocean
    "Pier and Ocean" is an early abstract painting by Piet Mondrian that explores the reduction of seascape forms into a grid of vertical and horizontal lines, foreshadowing his later De Stijl style.
  • D. Sea View Beach
    Sea View Beach is a popular public beach along the Arabian Sea in Karachi, Pakistan, known for its long sandy shoreline and bustling seaside promenade.
  • E. Harbor Point
    Harbor Point is a major waterfront redevelopment district in Stamford, Connecticut, featuring mixed-use residential, commercial, and recreational spaces along the city’s South End.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69bd46477f9081909d242a327d749466 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd85ac8e10819088b6a9e02d927044 completed March 20, 2026, 5:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf21bebea0819083e6deae67f3e834 completed March 21, 2026, 10:54 p.m.
Created at: March 20, 2026, 2 p.m.