Triple

T19335466
Position Surface form Disambiguated ID Type / Status
Subject City of Lorain E483610 entity
Predicate hasPort P35 FINISHED
Object Port of Lorain 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: Port of Lorain | Statement: [City of Lorain, hasPort, Port of Lorain]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Port of Lorain
Context triple: [City of Lorain, hasPort, Port of Lorain]
  • A. Port of Lorain chosen
    The Port of Lorain is a commercial and industrial shipping hub on Lake Erie that serves as a key maritime gateway for Lorain, Ohio.
  • B. Port of Toledo
    The Port of Toledo is a commercial and industrial maritime facility in Toledo, Ohio, serving as a key shipping hub on the Great Lakes–St. Lawrence Seaway system.
  • C. Port of Cleveland
    The Port of Cleveland is a major commercial shipping and logistics hub on Lake Erie that serves as the primary maritime gateway for the Cleveland, Ohio region.
  • D. Port of Erie
    The Port of Erie is a commercial and recreational harbor on Lake Erie in Erie, Pennsylvania, serving as a regional hub for shipping, fishing, and waterfront activities.
  • E. Port of Conneaut
    The Port of Conneaut is a commercial harbor on Lake Erie in Conneaut, Ohio, serving as a key regional hub for bulk cargo shipping within the Great Lakes.
  • 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_69d8e8d13e3c81909d91d1d5ec37c095 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e61644b80c819080f9bca086424a36 completed April 20, 2026, 12:04 p.m.
Created at: April 10, 2026, 1:33 p.m.