Triple

T12532507
Position Surface form Disambiguated ID Type / Status
Subject Prince Street station E299603 entity
Predicate hasEntranceOn P1974 FINISHED
Object Prince Street E404850 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: Prince Street | Statement: [Prince Street station, hasEntranceOn, Prince Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Prince Street
Context triple: [Prince Street station, hasEntranceOn, Prince Street]
  • A. Prince Street
    Prince Street is a short-lived American television drama series centered on an undercover NYPD unit operating in New York City.
  • B. Prince Street chosen
    Prince Street is a New York City Subway station in Manhattan’s SoHo neighborhood, served by Broadway Line trains and providing access to nearby shopping and cultural attractions.
  • C. Prince Street
    Prince Street is a historic, cobblestone-lined thoroughfare in Old Town Alexandria, Virginia, known for its preserved 18th- and 19th-century architecture and waterfront access.
  • D. Queen Street
    Queen Street is the main commercial and retail thoroughfare in central Auckland, New Zealand, known for its shops, offices, and entertainment venues.
  • E. Queen Street
    Queen Street is a central London road in the City of London that connects key financial and commercial areas near the River Thames.
  • 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_69d6ada5cdd48190860d9ce30aff69be completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d9546b8fd48190ae90e80785b2e2d1 completed April 10, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f739668f3481909cc7564c3ede2896 completed May 3, 2026, 12:02 p.m.
Created at: April 8, 2026, 9:57 p.m.