Triple

T2602751
Position Surface form Disambiguated ID Type / Status
Subject Greenbelt, Maryland E58381 entity
Predicate hasPark P105 FINISHED
Object Greenbelt Park E179622 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: Greenbelt Park | Statement: [Greenbelt, Maryland, hasPark, Greenbelt Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Greenbelt Park
Context triple: [Greenbelt, Maryland, hasPark, Greenbelt Park]
  • A. Greenbelt Park chosen
    Greenbelt Park is a wooded national park in Greenbelt, Maryland, offering camping, hiking, and other outdoor recreation just outside Washington, D.C.
  • B. Courtland Park
    Courtland Park is a public recreational park located in Reidsville, North Carolina.
  • C. Harleman Park
    Harleman Park is a local public park in Cornelius, Oregon, offering outdoor recreational space for residents and visitors.
  • D. Rockcliffe Park
    Rockcliffe Park is an affluent, historic residential neighbourhood in Ottawa, Ontario, known for its large estates, embassies, and scenic views along the Ottawa River.
  • E. West Park
    West Park is a section of Staten Island’s Freshkills Park, a large-scale New York City park being developed on a former landfill site.
  • 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_69ab4ac14040819098b13f4a27d5c8ff completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd459ca6c81908505be96d097b739 completed March 7, 2026, 7:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69af83d6daa4819087ee111e648ce71d completed March 10, 2026, 2:37 a.m.
Created at: March 6, 2026, 9:49 p.m.