Triple

T13708028
Position Surface form Disambiguated ID Type / Status
Subject Media Theatre E328694 entity
Predicate locatedIn P40 FINISHED
Object Media, Pennsylvania E33174 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: Media, Pennsylvania | Statement: [Media Theatre, locatedIn, Media, Pennsylvania]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Media, Pennsylvania
Context triple: [Media Theatre, locatedIn, Media, Pennsylvania]
  • A. Media, Pennsylvania chosen
    Media, Pennsylvania is a small historic borough that serves as the county seat of Delaware County and a suburban community within the greater Philadelphia region.
  • B. 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.
  • C. McMurray, Pennsylvania
    McMurray, Pennsylvania is a suburban community in the Pittsburgh metropolitan area known for its residential neighborhoods and location within Peters Township.
  • D. Scotland, PA
    Scotland, PA is a dark comedy film that reimagines Shakespeare’s "Macbeth" in a 1970s Pennsylvania fast-food restaurant setting.
  • E. Westland, Pennsylvania
    Westland, Pennsylvania is a small unincorporated community in Washington County known historically for its coal mining and its location along Chartiers Creek.
  • 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_69d80770b9bc81909f70c8c317d53cff completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dcad18d48c8190a26be865c31975d6 completed April 13, 2026, 8:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7a845a29c81908096a785f5af5521 completed May 3, 2026, 7:55 p.m.
Created at: April 9, 2026, 9:54 p.m.