Triple

T3404509
Position Surface form Disambiguated ID Type / Status
Subject Stanyan Street E71737 entity
Predicate hasIntersectionWith P13379 FINISHED
Object Lincoln Way E52410 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: Lincoln Way | Statement: [Stanyan Street, hasIntersectionWith, Lincoln Way]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lincoln Way
Context triple: [Stanyan Street, hasIntersectionWith, Lincoln Way]
  • A. Lincoln Way chosen
    Lincoln Way is a major east–west thoroughfare in San Francisco that runs along the southern edge of Golden Gate Park.
  • B. Cermak Road
    Cermak Road is a major east–west thoroughfare in the Chicago metropolitan area known for its dense mix of shops, restaurants, and local businesses.
  • C. Illinois Avenue
    Illinois Avenue is a major thoroughfare in the Dallas, Texas area that provides key local and regional connectivity for surrounding communities.
  • D. Chicago Avenue
    Chicago Avenue is a major east–west thoroughfare in Chicago known for connecting diverse neighborhoods and serving as a key commercial and transit corridor.
  • E. Lake Shore Drive
    Lake Shore Drive is a major scenic expressway running along the Lake Michigan shoreline in Chicago, known for connecting the city’s lakefront parks, beaches, and downtown.
  • 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_69ad85aac4808190a092c9cc8911f584 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb8e8ea848190b4ac167f1aba8ebd completed March 8, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69b34bd69f388190981da6454dfd4fb1 completed March 12, 2026, 11:27 p.m.
Created at: March 8, 2026, 3:14 p.m.