Triple

T16660767
Position Surface form Disambiguated ID Type / Status
Subject Prince Street E404850 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, hasEntranceOn, Prince Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Prince Street
Context triple: [Prince Street, 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
    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.
  • C. 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.
  • 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 notable thoroughfare running through downtown Honolulu, Hawaii, lined with commercial buildings and serving as part of the city’s central business district street grid.
  • 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_69d8838b5fbc81908c6575c132b82e80 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37bfee5448190bb44c4dadba5dcbd completed April 18, 2026, 12:41 p.m.
NED1 Entity disambiguation (via context triple) batch_6a008a32988c8190a671a4cbd829047a completed May 10, 2026, 1:37 p.m.
Created at: April 10, 2026, 5:18 a.m.