Triple

T5157584
Position Surface form Disambiguated ID Type / Status
Subject Salem Center E116350 entity
Predicate county P75 FINISHED
Object Putnam County E15885 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: Putnam County | Statement: [Salem Center, county, Putnam County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Putnam County
Context triple: [Salem Center, county, Putnam County]
  • A. Putnam County chosen
    Putnam County is a suburban county in southeastern New York State known for its lakes, forests, and commuter communities north of New York City.
  • B. Dickinson County
    Dickinson County is a county in central Kansas known for including the city of Abilene, a historic cattle town and the boyhood home of President Dwight D. Eisenhower.
  • C. Clinton County
    Clinton County is the name of numerous counties in the United States, typically named after prominent American statesmen such as George Clinton or DeWitt Clinton.
  • D. Monroe County
    Monroe County is a county in central Georgia known for its mix of rural communities, historic towns like Forsyth, and its location along major transportation routes between Atlanta and Macon.
  • E. Monroe County
    Monroe County is a rural county in southern West Virginia known for its scenic Appalachian landscapes, agriculture, and historic small towns.
  • 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_69bd445d94788190b72e2cc563120995 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7902fbe48190abb58cb0b2b2b62d completed March 20, 2026, 4:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf186b92a48190a167a5712667809b completed March 21, 2026, 10:15 p.m.
Created at: March 20, 2026, 1:44 p.m.