Triple

T2853577
Position Surface form Disambiguated ID Type / Status
Subject Race–Vine station E63146 entity
Predicate hasEntrance P6140 FINISHED
Object Race Street E76628 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: Race Street | Statement: [Race–Vine station, hasEntrance, Race Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Race Street
Context triple: [Race–Vine station, hasEntrance, Race Street]
  • A. Race Street chosen
    Race Street is a major east–west thoroughfare in Philadelphia, Pennsylvania, running through Center City and connecting several historic and cultural landmarks.
  • B. Buena Vista Street
    Buena Vista Street is a themed entry area at Disney California Adventure Park designed to evoke 1920s–1930s Los Angeles at the time of Walt Disney’s arrival.
  • C. Lexington Road
    Lexington Road is a historic thoroughfare in Concord, Massachusetts, lined with notable literary landmarks and colonial-era sites.
  • D. Green Street
    Green Street is a notable thoroughfare running through San Francisco’s Russian Hill neighborhood, known for its steep grades and classic city views.
  • E. Green Street
    Green Street is a 2005 British-American drama film about football hooliganism, starring Elijah Wood as an American who becomes involved with a violent West Ham United firm.
  • 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_69ab4c407c408190857d25e027155ce9 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdf5f21348190a574fa86bc71c76f completed March 7, 2026, 8:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69b01d8774cc8190aa6ed40b26c4a568 completed March 10, 2026, 1:32 p.m.
Created at: March 6, 2026, 10:02 p.m.