Triple

T2072020
Position Surface form Disambiguated ID Type / Status
Subject Camden E44834 entity
Predicate county P75 FINISHED
Object Camden County E149015 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: [Camden, county, Camden County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Camden County
Context triple: [Camden, county, Camden County]
  • A. Camden County
    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. Johnston County
    Johnston County is a county in central North Carolina that forms part of the greater Raleigh–Durham–Chapel Hill Research Triangle region.
  • D. Sampson County
    Sampson County is a largely rural county in eastern North Carolina known for its extensive agricultural production and small-town communities.
  • E. Camden County, New Jersey chosen
    Camden County, New Jersey is a largely suburban county in the Philadelphia metropolitan area known for the city of Camden, its Delaware River waterfront, and its role as a regional transportation and economic hub in South Jersey.
  • 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_69a88916c2b48190a5ca2e9b12cad3ed completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abba0d20bc8190b19a32157f8b1607 completed March 7, 2026, 5:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae272bd51881909b7da12925195417 completed March 9, 2026, 1:49 a.m.
Created at: March 4, 2026, 7:41 p.m.