Triple

T4070177
Position Surface form Disambiguated ID Type / Status
Subject Porter, Indiana E86626 entity
Predicate adjacentTo P224 FINISHED
Object Beverly Shores, Indiana E211374 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: Beverly Shores, Indiana | Statement: [Porter, Indiana, adjacentTo, Beverly Shores, Indiana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beverly Shores, Indiana
Context triple: [Porter, Indiana, adjacentTo, Beverly Shores, Indiana]
  • A. Beverly Shores, Indiana chosen
    Beverly Shores, Indiana is a small lakeside town on the southern shore of Lake Michigan known for its historic Century of Progress homes and scenic dunes.
  • B. Beech Grove
    Beech Grove is a small, independent city located within the Indianapolis metropolitan area in central Indiana.
  • C. Boston, Indiana
    Boston, Indiana is a small rural community located in Wayne County in the eastern part of the state near the Ohio border.
  • D. Merrillville, Indiana
    Merrillville, Indiana is a suburban town in Lake County within the Chicago metropolitan area, known as a regional retail and commercial hub in northwest Indiana.
  • E. Bedford, Indiana
    Bedford, Indiana is a small city in southern Indiana renowned as a major center of the Indiana limestone industry.
  • 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_69aed93ebe448190a1f1686e28740ac9 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefbfa45c88190b7b13b35de816378 completed March 9, 2026, 4:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69b562b6eb708190a7f60192d8df9a27 completed March 14, 2026, 1:29 p.m.
Created at: March 9, 2026, 3:38 p.m.