Triple

T16454658
Position Surface form Disambiguated ID Type / Status
Subject Camp Topridge E399644 entity
Predicate county P75 FINISHED
Object Franklin County E335517 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: Franklin County | Statement: [Camp Topridge, county, Franklin County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Franklin County
Context triple: [Camp Topridge, county, Franklin County]
  • A. Franklin County
    Franklin County is a largely rural county in northwestern Massachusetts known for its small towns, forests, and outdoor recreation along the Connecticut River.
  • B. Franklin County
    Franklin County is a county-level jurisdiction located in the U.S. state of Alabama.
  • C. Franklin County chosen
    Franklin County is a rural county in northern New York State, located along the Canadian border and known for its small towns and portions of the Adirondack region.
  • D. Franklin County
    Franklin County is a county in North Carolina known for its mix of small towns, including Youngsville, and rural communities within the Research Triangle region.
  • E. Franklin County
    Franklin County is a populous county in central Ohio that includes the state capital, Columbus, and its surrounding suburbs.
  • 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_69d87f2c6778819080fcfae53be8f12a completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32d7c84fc8190bcb0df96bdec647e completed April 18, 2026, 7:06 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00c291e2008190b41a989c5c6e2860 completed May 10, 2026, 5:38 p.m.
Created at: April 10, 2026, 5:10 a.m.