Triple

T15326825
Position Surface form Disambiguated ID Type / Status
Subject Third Street corridor E366431 entity
Predicate followsStreet P2127 FINISHED
Object Third Street — NE NERFINISHED

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: [Third Street corridor, followsStreet, Third Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Third Street
Context triple: [Third Street corridor, followsStreet, 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. Third Street
    Third Street is a notable roadway in Kingston’s Trench Town neighborhood, recognized as part of the area’s historic and cultural landscape.
  • D. Fourth Street
    Fourth Street is a downtown Los Angeles thoroughfare that serves as one of the street-level access points to the Pershing Square Metro station.
  • E. M Street
    M Street is a common street designation in Washington, D.C., used for several major east–west thoroughfares across different quadrants of the city.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d85a121520819093dcce999fdefe1a completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03dfd8f048190831b463a2728eafe completed April 16, 2026, 1:40 a.m.
Created at: April 10, 2026, 3:16 a.m.