Triple

T12793612
Position Surface form Disambiguated ID Type / Status
Subject Monroe Park Campus E305832 entity
Predicate near P350 FINISHED
Object Monroe Park E1038621 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: Monroe Park | Statement: [Monroe Park Campus, near, Monroe Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Monroe Park
Context triple: [Monroe Park Campus, near, Monroe Park]
  • A. Monroe Park chosen
    Monroe Park is a historic urban green space in Richmond, Virginia, known as one of the city’s oldest and most prominent public parks.
  • B. Monroe Roark Park
    Monroe Roark Park is a local recreational park in Stockbridge, Georgia, offering outdoor green space and community amenities for residents and visitors.
  • C. Herter Park
    Herter Park is a public riverside park in Boston, Massachusetts, known for its open green spaces, outdoor performances, and recreational access along the Charles River.
  • D. Jefferson Park
    Jefferson Park is a large public park in Seattle’s Beacon Hill neighborhood, known for its open green spaces, sports facilities, and panoramic views of the city and mountains.
  • E. Jefferson Park
    Jefferson Park is a Chicago Transit Authority rapid transit station in the city's Northwest Side that serves as a key stop on the Blue Line.
  • 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_69d7bdf366888190a8cccb982606889c completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96e6ca0288190aba01735b71a01da completed April 10, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f78ac916748190821c0cdabe54fcbc completed May 3, 2026, 5:50 p.m.
Created at: April 9, 2026, 5:30 p.m.