Triple

T8996749
Position Surface form Disambiguated ID Type / Status
Subject Monroe County Public School System E214934 entity
Predicate servesCity P82 FINISHED
Object Monroeville, Alabama E40176 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: Monroeville, Alabama | Statement: [Monroe County Public School System, servesCity, Monroeville, Alabama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Monroeville, Alabama
Context triple: [Monroe County Public School System, servesCity, Monroeville, Alabama]
  • A. Monroeville, Alabama chosen
    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
    Monroeville is a suburban municipality in western Pennsylvania known for its shopping centers, residential communities, and proximity to Pittsburgh.
  • C. Carbon Hill, Alabama
    Carbon Hill is a small city in northwestern Alabama known historically as a coal-mining community within Walker County.
  • D. Monroeville, Ohio
    Monroeville, Ohio is a small village in northern Ohio known for its rural character and historic Midwestern community.
  • E. Moody, Alabama
    Moody, Alabama is a small suburban city in central Alabama that forms part of the Birmingham 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_69ca83a05c608190bdfdbdb25e994b39 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc68df33c48190a5017426e59c0bc4 completed April 1, 2026, 12:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0475435808190a80d82b6614b1308 completed April 3, 2026, 11:03 p.m.
Created at: March 30, 2026, 7:05 p.m.