Triple

T4569260
Position Surface form Disambiguated ID Type / Status
Subject Muni Metro T Third Street line E122988 entity
Predicate namedAfter P63 FINISHED
Object Third Street E454895 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: Third Street | Statement: [Muni Metro T Third Street line, namedAfter, Third Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Third Street
Context triple: [Muni Metro T Third Street line, namedAfter, Third Street]
  • A. 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.
  • B. Third Street chosen
    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.
  • C. Second Street
    Second Street is a major north–south thoroughfare in Philadelphia that runs through several historic and commercial neighborhoods, including parts of Old City and Northern Liberties.
  • D. 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.
  • E. Fourth Avenue
    Fourth Avenue is a major thoroughfare in Brooklyn, New York City, running through several neighborhoods and serving as a key corridor for traffic, transit, and local businesses.
  • 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_69bd46466c7081909d07f36be2d08804 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd58a0dfbc81909b5023f0c29addaf completed March 20, 2026, 2:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfa1eb59081909d0f6ac93c1d6639 completed March 21, 2026, 1:53 a.m.
Created at: March 20, 2026, 1:10 p.m.