Triple

T20745190
Position Surface form Disambiguated ID Type / Status
Subject West Cornwall Township, Pennsylvania E510560 entity
Predicate subdivisionName2 P766 FINISHED
Object Lebanon County 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: Lebanon County | Statement: [West Cornwall Township, Pennsylvania, subdivisionName2, Lebanon County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lebanon County
Context triple: [West Cornwall Township, Pennsylvania, subdivisionName2, Lebanon County]
  • A. Lebanon County chosen
    Lebanon County is a county in south-central Pennsylvania known for its mix of rural farmland, small towns, and historical communities such as the city of Lebanon.
  • B. Greene County
    Greene County is a rural county in western Illinois known for its agricultural landscape and small communities.
  • C. Greene County
    Greene County is a rural county in eastern New York State known for encompassing a significant portion of the scenic Catskill Mountains.
  • D. Greene County
    Greene County is a rural county in western Alabama known for its historical significance in the Black Belt region and its predominantly African American population.
  • E. Greene County
    Greene County is a rural county in eastern North Carolina known for its agricultural landscape and small-town communities.
  • 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_69e0b4c845e88190b4c5f3ae79291182 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c212b744819089bc1d47a020bd61 completed April 21, 2026, 12:17 a.m.
Created at: April 16, 2026, 12:33 p.m.