Triple

T19445240
Position Surface form Disambiguated ID Type / Status
Subject Monroeville Mall E486458 entity
Predicate location P40 FINISHED
Object Monroeville, Pennsylvania NE NERFINISHED

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: Monroeville, Pennsylvania | Statement: [Monroeville Mall, location, Monroeville, Pennsylvania]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Monroeville, Pennsylvania
Context triple: [Monroeville Mall, location, Monroeville, Pennsylvania]
  • A. Monroeville, Alabama
    Monroeville, Alabama is a small Southern town best known as the childhood home of authors Truman Capote and Harper Lee, whose works it heavily inspired.
  • B. Monroeville chosen
    Monroeville is a suburban municipality in western Pennsylvania known for its shopping centers, residential communities, and proximity to Pittsburgh.
  • C. Monroeville, Ohio
    Monroeville, Ohio is a small village in northern Ohio known for its rural character and historic Midwestern community.
  • D. Monroeville, Indiana
    Monroeville, Indiana is a small town in northeastern Indiana known for its rural character and close-knit community.
  • E. Plainville
    Plainville is a small suburban town in central Connecticut, known for its residential character and proximity to the city of Hartford.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8d7ad488190a3373045029b0f3b completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6338921cc819083f8f918225d78e6 completed April 20, 2026, 2:09 p.m.
Created at: April 10, 2026, 1:38 p.m.