Triple

T14840258
Position Surface form Disambiguated ID Type / Status
Subject Northwest Philadelphia E348942 entity
Predicate hasNeighborhood P40 FINISHED
Object Germantown 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 | Statement: [Northwest Philadelphia, hasNeighborhood, Germantown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Germantown
Context triple: [Northwest Philadelphia, hasNeighborhood, Germantown]
  • A. Germantown
    Germantown is a residential neighborhood within the city of Quincy, Massachusetts.
  • B. Germantown
    Germantown is a small hamlet and census-designated place in Columbia County, New York, situated along the Hudson River in the Hudson Valley region.
  • C. Germantown
    Germantown is a suburban village in southeastern Wisconsin known for its residential communities and proximity to the Milwaukee metropolitan area.
  • D. Germantown, Pennsylvania chosen
    Germantown, Pennsylvania is a historic neighborhood in northwest Philadelphia known for its colonial-era sites and role in early American history.
  • E. Germantown, Maryland
    Germantown, Maryland is a major suburban community in the Washington, D.C. metropolitan area known for its rapid growth, diverse population, and extensive residential and commercial development.
  • 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_69d822ec69008190a9232caa68836872 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded28e40f08190b309d8ac6404d2fc completed April 14, 2026, 11:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe38a9eb9481908ca509f484007cf6 completed May 8, 2026, 7:25 p.m.
Created at: April 10, 2026, 1:53 a.m.