Triple

T21095498
Position Surface form Disambiguated ID Type / Status
Subject Sligo Creek E519754 entity
Predicate flowsThrough P225 FINISHED
Object Wheaton, Maryland 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: Wheaton, Maryland | Statement: [Sligo Creek, flowsThrough, Wheaton, Maryland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wheaton, Maryland
Context triple: [Sligo Creek, flowsThrough, Wheaton, Maryland]
  • A. Wheaton, Maryland chosen
    Wheaton, Maryland is a diverse suburban community in Montgomery County known for its shopping centers, residential neighborhoods, and proximity to Washington, D.C.
  • B. Hyattsville, Maryland
    Hyattsville, Maryland is a small city in the Washington, D.C. metropolitan area known for its historic districts, arts scene, and diverse residential neighborhoods.
  • C. Westminster, Maryland
    Westminster, Maryland is a small historic city in northern Maryland known for its role as the commercial and cultural hub of Carroll County.
  • D. Norwood, Maryland
    Norwood, Maryland is an unincorporated community in Montgomery County located near Sandy Spring in the central part of the state.
  • E. Germantown, Maryland
    Germantown, Maryland is a major suburban community in the Washington, D.C. metropolitan area known for its rapid growth, diverse population, and extensive residential and commercial development.
  • 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_69e0b508d8dc81909be940dafe36c8f7 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e71b5845f88190a16f3df157f0906c completed April 21, 2026, 6:38 a.m.
Created at: April 16, 2026, 2:52 p.m.