Triple

T10105562
Position Surface form Disambiguated ID Type / Status
Subject MD 202 E216310 entity
Predicate passesNear P416 FINISHED
Object Seat Pleasant, Maryland E32880 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: Seat Pleasant, Maryland | Statement: [MD 202, passesNear, Seat Pleasant, Maryland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seat Pleasant, Maryland
Context triple: [MD 202, passesNear, Seat Pleasant, Maryland]
  • A. Seat Pleasant, Maryland chosen
    Seat Pleasant, Maryland is a small suburban city in the Washington, D.C. metropolitan area located in Prince George’s County.
  • B. Bel Air, Maryland
    Bel Air, Maryland is a small town in Harford County that serves as a residential and commercial hub in northeastern Maryland.
  • C. Hampstead, Maryland
    Hampstead, Maryland is a small town in northern Maryland known for its suburban residential character and proximity to both rural farmland and the Baltimore metropolitan area.
  • D. Edgemere, Maryland
    Edgemere, Maryland is a waterfront community in southeastern Baltimore County known for its proximity to industrial Sparrows Point and access to the Chesapeake Bay.
  • E. Overlea, Maryland
    Overlea, Maryland is a suburban community in Baltimore County that forms part of the greater Baltimore metropolitan area.
  • 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_69ca83d039f08190b9d10363221c69fb completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cdd09dde888190bb550a3cd0b204fe completed April 2, 2026, 2:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2cc0572e08190a8ef4d620ac27d88 completed April 5, 2026, 8:54 p.m.
Created at: March 30, 2026, 9:03 p.m.