Triple

T5332870
Position Surface form Disambiguated ID Type / Status
Subject M Ocean View E123350 entity
Predicate connectsWith P37 FINISHED
Object T Third Street E147519 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: T Third Street | Statement: [M Ocean View, connectsWith, T Third Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: T Third Street
Context triple: [M Ocean View, connectsWith, T Third Street]
  • A. T Third Street chosen
    T Third Street is a San Francisco Muni light rail line that runs along the city’s eastern waterfront, serving neighborhoods from Visitacion Valley through Mission Bay to downtown.
  • B. 3rd Street
    3rd Street is a notable thoroughfare running through the Old City historic district, known for its preserved architecture, cultural landmarks, and local businesses.
  • C. 33rd Street
    33rd Street is a major east–west thoroughfare in Midtown Manhattan, New York City, known for running through the busy Penn Station area and surrounding commercial district.
  • D. Third Street
    Third Street is a major thoroughfare in San Francisco that serves as a key corridor for public transit, including the Muni Metro T Third Street light rail line.
  • E. Third Street
    Third Street is a popular shopping and dining corridor in Los Angeles’ Beverly Grove neighborhood, known for its trendy boutiques, cafes, and restaurants.
  • 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_69bf290fc4448190ad9e9c5e880904a8 completed March 21, 2026, 11:26 p.m.
Created at: March 20, 2026, 2 p.m.