Triple

T21546203
Position Surface form Disambiguated ID Type / Status
Subject MD 32 E531628 entity
Predicate passesThrough P225 FINISHED
Object Howard County, 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: Howard County, Maryland | Statement: [MD 32, passesThrough, Howard County, Maryland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Howard County, Maryland
Context triple: [MD 32, passesThrough, Howard County, Maryland]
  • A. Howard County
    Howard County is a rural county in central Nebraska known for its agricultural landscape and small communities.
  • B. Howard County chosen
    Howard County is a suburban county in central Maryland known for its affluent communities, strong public school system, and the planned city of Columbia.
  • C. Howard County
    Howard County is a county in western Texas known for its seat, the city of Big Spring, and its role in the region’s oil and gas industry.
  • D. Harford County, Maryland
    Harford County, Maryland is a county in northeastern Maryland known for its mix of suburban communities, rural landscapes, and proximity to the Chesapeake Bay.
  • E. Kent County, Maryland
    Kent County, Maryland is a rural county on Maryland’s Eastern Shore along the Chesapeake Bay, known for its historic waterfront towns and agricultural landscapes.
  • 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_69e0c45f17148190949c330ab9c27706 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eeb58ef2548190a81ff51baba76e48 completed April 27, 2026, 1:02 a.m.
Created at: April 16, 2026, 6:28 p.m.