Triple

T19777090
Position Surface form Disambiguated ID Type / Status
Subject Downtown (Washington, D.C.) E475029 entity
Predicate contains P35 FINISHED
Object Franklin Square — NE NERFINISHED

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: Franklin Square | Statement: [Downtown (Washington, D.C.), contains, Franklin Square]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Franklin Square
Context triple: [Downtown (Washington, D.C.), contains, Franklin Square]
  • A. Franklin Square
    Franklin Square is a suburban hamlet in Nassau County, Long Island, known as a residential community just outside New York City.
  • B. Franklin Square
    Franklin Square is a historic residential neighborhood and park area in West Baltimore, Maryland, known for its 19th-century rowhouses and central green space.
  • C. Franklin Square
    Franklin Square is one of Philadelphia’s original five public squares, now a historic urban park featuring fountains, family attractions, and green space in the Old City area.
  • D. Franklin Square chosen
    Franklin Square is a historic public park and urban green space located in downtown Washington, D.C.
  • E. Franklin Square
    Franklin Square is a historic public square in Savannah, Georgia, known for its 18th- and 19th-century architecture and role in the city’s distinctive grid of landscaped squares.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d8e51a43a08190956bc6df13c91a77 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65360cca08190957c36b1a440542c completed April 20, 2026, 4:25 p.m.
Created at: April 10, 2026, 1:48 p.m.