Triple

T17867868
Position Surface form Disambiguated ID Type / Status
Subject Maryland Route 193 E446749 entity
Predicate serves P98 FINISHED
Object Greenbelt Park 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: Greenbelt Park | Statement: [Maryland Route 193, serves, Greenbelt Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Greenbelt Park
Context triple: [Maryland Route 193, serves, 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. Greenbelt Park
    Greenbelt Park is a public recreational green space located in Upland, California.
  • C. Woodward Park
    Woodward Park is a public recreational park in Manteca, California, featuring open green spaces, sports facilities, and family-friendly amenities.
  • D. Greenwood Park
    Greenwood Park is a public recreational area in Longmeadow, Massachusetts, offering outdoor space and facilities for community activities and leisure.
  • E. Bushey Grove
    Bushey Grove is a designated Local Nature Reserve in Bushey, Hertfordshire, providing protected green space for wildlife and public enjoyment.
  • 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_69d8b9f4c22c819093c2680434472894 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e49aa0b69081909fba3b42d237b543 completed April 19, 2026, 9:04 a.m.
Created at: April 10, 2026, 10:17 a.m.