Triple

T2710312
Position Surface form Disambiguated ID Type / Status
Subject N Judah E59842 entity
Predicate hasSurfaceSection P24720 FINISHED
Object Judah Street E496284 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: Judah Street | Statement: [N Judah, hasSurfaceSection, Judah Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Judah Street
Context triple: [N Judah, hasSurfaceSection, Judah Street]
  • A. Judah Street chosen
    Judah Street is a major east–west thoroughfare in San Francisco’s Sunset District, known for carrying the N Judah Muni light rail line.
  • B. Judd Street
    Judd Street is a central London street in the Borough of Camden that hosts the main administrative offices of the local authority.
  • C. Bauman Street
    Bauman Street is a central pedestrian thoroughfare in Kazan, Russia, known for its historic architecture, shops, cafes, and cultural attractions.
  • D. Keefer Street
    Keefer Street is a notable thoroughfare in Vancouver’s Chinatown, known for its historic buildings, cultural landmarks, and vibrant local businesses.
  • E. Laurel Street
    Laurel Street is a primary commercial and thoroughfare corridor running through the Laurel Heights neighborhood.
  • 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_69ab4ac92a088190bc74bca14038e3de completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abda7771a4819081904bd6b818b81b completed March 7, 2026, 7:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69bf185542508190ad71b753bda5d1a3 completed March 21, 2026, 10:14 p.m.
Created at: March 6, 2026, 9:55 p.m.