Triple

T7795182
Position Surface form Disambiguated ID Type / Status
Subject Greenbelt Park campground E180280 entity
Predicate nearCity P350 FINISHED
Object Greenbelt E58381 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 | Statement: [Greenbelt Park campground, nearCity, Greenbelt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Greenbelt
Context triple: [Greenbelt Park campground, nearCity, Greenbelt]
  • A. Greenbelt
    Greenbelt is a prominent upscale shopping, dining, and lifestyle complex located in the central business district of Makati in Metro Manila, Philippines.
  • B. Greenbelt
    Greenbelt is a vast network of forests, trails, and natural areas on Staten Island that serves as one of New York City's largest and most significant urban park preserves.
  • C. Greenbelt, Maryland chosen
    Greenbelt, Maryland is a planned community and city in the Washington, D.C. metropolitan area, originally developed in the 1930s as part of President Franklin D. Roosevelt’s New Deal.
  • D. Elkridge
    Elkridge is an unincorporated community in central Maryland known for its historic sites and proximity to major transportation routes near Baltimore and Washington, D.C.
  • E. Greenbelt Park
    Greenbelt Park is a wooded national park in Greenbelt, Maryland, offering camping, hiking, and other outdoor recreation just outside Washington, D.C.
  • 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_69ca827d22208190b4dc5aa680edcf5d completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cae93b262c8190b55e5ab2bc72d894 completed March 30, 2026, 9:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69cbdeb6c1b88190a38fb4507bfb380c completed March 31, 2026, 2:48 p.m.
Created at: March 30, 2026, 4:31 p.m.