Triple

T19785141
Position Surface form Disambiguated ID Type / Status
Subject Holliston Center Historic District E475242 entity
Predicate contains P35 FINISHED
Object Green Street — NE NERFINISHED

How this triple was built (3 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: Green Street | Statement: [Holliston Center Historic District, contains, Green Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Green Street
Context triple: [Holliston Center Historic District, contains, Green Street]
  • A. 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.
  • B. 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.
  • C. Green Street
    Green Street is a small historic shopping street in the centre of Cambridge, England, known for its mix of independent boutiques and high-street retailers connecting Sidney Street and Trinity Street.
  • D. Green Street
    Green Street is a notable city street in Pasadena, California, known for its central location and role in the city's urban layout and traffic flow.
  • E. Greenstreet
    Greenstreet is a surname most famously associated with Sydney Greenstreet, the British character actor known for his roles in classic films like "The Maltese Falcon" and "Casablanca."
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Green Street
Target entity description: Green Street is a historic roadway within Holliston Center in Massachusetts, contributing to the town’s preserved 19th-century village character.
  • A. 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.
  • B. 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.
  • C. Green Street
    Green Street is a small historic shopping street in the centre of Cambridge, England, known for its mix of independent boutiques and high-street retailers connecting Sidney Street and Trinity Street.
  • D. Green Street
    Green Street is a notable city street in Pasadena, California, known for its central location and role in the city's urban layout and traffic flow.
  • E. Greenstreet
    Greenstreet is a surname most famously associated with Sydney Greenstreet, the British character actor known for his roles in classic films like "The Maltese Falcon" and "Casablanca."
  • F. None of above. chosen

Provenance (2 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_69d8e51b014081908b263e167370529a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6538715b8819080c6930e7d16ab58 completed April 20, 2026, 4:25 p.m.
Created at: April 10, 2026, 1:49 p.m.