Triple

T1002761
Position Surface form Disambiguated ID Type / Status
Subject Battle of Germantown E21640 entity
Predicate location P40 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: [Battle of Germantown, location, Germantown, Pennsylvania]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Germantown, Pennsylvania
Context triple: [Battle of Germantown, location, 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. Germantown
    Germantown is a residential neighborhood within the city of Quincy, Massachusetts.
  • C. Wyomissing, Pennsylvania
    Wyomissing, Pennsylvania is a suburban borough in Berks County known for its residential character and role as a corporate hub in the Reading metropolitan area.
  • D. New Kensington, Pennsylvania
    New Kensington, Pennsylvania is a small industrial borough along the Allegheny River near Pittsburgh, historically known for aluminum production and manufacturing.
  • E. Norristown
    Norristown is a historic borough in Montgomery County, Pennsylvania, serving as a county seat and inner suburb within the greater Philadelphia 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_69a493c53e648190ae8cb76c433fd9a7 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b4fe0a548190aee8abf1890e141e completed March 1, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac66179f908190b3f0144d1ee91a1c completed March 7, 2026, 5:53 p.m.
Created at: March 1, 2026, 7:41 p.m.