Triple

T10519029
Position Surface form Disambiguated ID Type / Status
Subject San Francisco street network E248113 entity
Predicate hasComponent P35 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: [San Francisco street network, hasComponent, Third Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Third Street
Context triple: [San Francisco street network, hasComponent, 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. 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.
  • D. 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.
  • E. Second Street
    Second Street is a song featured in the musical film "Newsies," known for its association with the number "Carry the Banner."
  • 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_69d381c4aa948190942e1d803143fb0e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d509dd29b48190aa5b170e2558545c completed April 7, 2026, 1:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69e2d65fc0948190af4356fc9f5004bb completed April 18, 2026, 12:54 a.m.
Created at: April 6, 2026, 12:28 p.m.