Triple

T11664383
Position Surface form Disambiguated ID Type / Status
Subject Washington Square E277206 entity
Predicate near P350 FINISHED
Object MacDougal Street E394296 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: MacDougal Street | Statement: [Washington Square, near, MacDougal Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MacDougal Street
Context triple: [Washington Square, near, MacDougal Street]
  • A. MacDougal Street chosen
    MacDougal Street is a historic, culturally vibrant street in New York City's Greenwich Village, known for its cafes, music venues, and bohemian atmosphere.
  • B. Hayes Street
    Hayes Street is a notable thoroughfare in San Francisco, California, known for running through several central neighborhoods and bordering the historic Alamo Square area.
  • C. Heath Street
    Heath Street is a light rail station in Boston, Massachusetts, serving as the southern terminus of the MBTA Green Line E branch.
  • D. Monroe Street
    Monroe Street is a major east–west thoroughfare in downtown Chicago, Illinois, running through the city’s central business and cultural districts.
  • E. Bayard Street
    Bayard Street is a prominent thoroughfare in Manhattan’s Chinatown known for its dense concentration of Chinese restaurants, shops, and cultural landmarks.
  • 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_69d6aafd0a448190b44da30af8c6c519 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a3d3a64c819099f398ea22c8c180 completed April 10, 2026, 7:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69f166403d6081908caa665433eaed53 completed April 29, 2026, 2 a.m.
Created at: April 8, 2026, 9:39 p.m.