Triple

T3233041
Position Surface form Disambiguated ID Type / Status
Subject Harlem Line E67786 entity
Predicate serves P98 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: [Harlem Line, serves, Putnam County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Putnam County
Context triple: [Harlem Line, serves, 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_69ad858c61888190a31196310d9b30b5 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaedb718c8190aae12f763033713a completed March 8, 2026, 5:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69b57f070d6081909bc6ae1ce127c3d7 completed March 14, 2026, 3:30 p.m.
Created at: March 8, 2026, 3:08 p.m.