Triple

T6158548
Position Surface form Disambiguated ID Type / Status
Subject Gloucester Township E137383 entity
Predicate county P75 FINISHED
Object Camden County E136354 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: Camden County | Statement: [Gloucester Township, county, Camden County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Camden County
Context triple: [Gloucester Township, county, Camden County]
  • A. Camden County chosen
    Camden County is a populous county in southwestern New Jersey, anchored by the city of Camden and forming part of the greater Philadelphia metropolitan area.
  • B. Cumberland County
    Cumberland County is a largely rural county in southern New Jersey known for its agriculture, wetlands, and Delaware Bay shoreline.
  • C. Cumberland County
    Cumberland County is a rural county in northern Nova Scotia, Canada, known for its coastal communities, forests, and agricultural areas along the Northumberland Strait and Bay of Fundy.
  • D. Cumberland County
    Cumberland County is a coastal county in southern Maine that includes the city of Portland and serves as the state’s most populous and economically significant region.
  • E. Johnston County
    Johnston County is a county in central North Carolina that forms part of the greater Raleigh–Durham–Chapel Hill Research Triangle region.
  • 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_69c008a54fc88190b6ce4416490ca79d completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05d32ef548190bc215d052d3497fe completed March 22, 2026, 9:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1419064a48190880005459c86322c completed March 23, 2026, 1:35 p.m.
Created at: March 22, 2026, 4:17 p.m.