Triple

T12683858
Position Surface form Disambiguated ID Type / Status
Subject Monroe County, Alabama E303014 entity
Predicate hasLargestCity P235 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, Alabama, hasLargestCity, Monroeville, Alabama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Monroeville, Alabama
Context triple: [Monroe County, Alabama, hasLargestCity, 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. Coffeeville, Alabama
    Coffeeville, Alabama is a small town in Clarke County known for its historic roots and proximity to the Tombigbee River in southwestern Alabama.
  • 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_69d7bdee64a08190801c6d470aefd723 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d961d68358819095bdaab8adf1dcf0 completed April 10, 2026, 8:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f68eafd4f8819083f20d142e9115ae completed May 2, 2026, 11:54 p.m.
Created at: April 9, 2026, 5:21 p.m.