Triple

T16967089
Position Surface form Disambiguated ID Type / Status
Subject James Agnew E411568 entity
Predicate placeOfDeath P21 FINISHED
Object Germantown, Pennsylvania E104997 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: Germantown, Pennsylvania | Statement: [James Agnew, placeOfDeath, Germantown, Pennsylvania]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Germantown, Pennsylvania
Context triple: [James Agnew, placeOfDeath, Germantown, Pennsylvania]
  • A. Germantown, Pennsylvania chosen
    Germantown, Pennsylvania is a historic neighborhood in northwest Philadelphia known for its colonial-era sites and role in early American history.
  • B. Newtown Square, Pennsylvania
    Newtown Square, Pennsylvania is a suburban community west of Philadelphia known for its historic sites, corporate campuses, and residential neighborhoods.
  • C. Glenside, Pennsylvania
    Glenside, Pennsylvania is a suburban community north of Philadelphia known for its residential neighborhoods, regional rail access, and local commercial district.
  • D. Germantown
    Germantown is a residential neighborhood within the city of Quincy, Massachusetts.
  • E. Germantown
    Germantown is a suburban village in southeastern Wisconsin known for its residential communities and proximity to the Milwaukee metropolitan area.
  • 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_69d886c9c9d481909afe222093641cae completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d0a548b48190b87468630f3e3209 completed April 18, 2026, 6:42 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01232d6360819080ac00b8e56f098d completed May 11, 2026, 12:30 a.m.
Created at: April 10, 2026, 5:31 a.m.