Triple

T18107390
Position Surface form Disambiguated ID Type / Status
Subject Lake Okeechobee Waterway E433379 entity
Predicate hasLock P2431 FINISHED
Object Moore Haven Lock and Dam — NE NERFINISHED

How this triple was built (3 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: Moore Haven Lock and Dam | Statement: [Lake Okeechobee Waterway, hasLock, Moore Haven Lock and Dam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Moore Haven Lock and Dam
Context triple: [Lake Okeechobee Waterway, hasLock, Moore Haven Lock and Dam]
  • A. Winfield Lock and Dam
    Winfield Lock and Dam is a navigation and flood-control structure on the Kanawha River in West Virginia that helps regulate river levels and facilitate barge traffic.
  • B. Holt Lock and Dam
    Holt Lock and Dam is a navigation and flood-control structure on the Black Warrior River in Alabama that helps regulate water levels and support commercial barge traffic.
  • C. Aberdeen Lock and Dam
    Aberdeen Lock and Dam is a navigation and flood-control structure on the Tennessee-Tombigbee Waterway in Mississippi that helps manage river traffic and water levels.
  • D. Murray Lock and Dam
    Murray Lock and Dam is a navigation and flood-control structure on the Arkansas River near Little Rock, Arkansas, that helps regulate river flow and support commercial barge traffic.
  • E. Claiborne Lock and Dam
    Claiborne Lock and Dam is a navigation and flood-control structure on the Alabama River in Alabama, United States.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Moore Haven Lock and Dam
Target entity description: Moore Haven Lock and Dam is a navigation and water-control structure on the Caloosahatchee River in Florida that helps regulate water levels and vessel passage along the Lake Okeechobee Waterway.
  • A. Winfield Lock and Dam
    Winfield Lock and Dam is a navigation and flood-control structure on the Kanawha River in West Virginia that helps regulate river levels and facilitate barge traffic.
  • B. Holt Lock and Dam
    Holt Lock and Dam is a navigation and flood-control structure on the Black Warrior River in Alabama that helps regulate water levels and support commercial barge traffic.
  • C. Aberdeen Lock and Dam
    Aberdeen Lock and Dam is a navigation and flood-control structure on the Tennessee-Tombigbee Waterway in Mississippi that helps manage river traffic and water levels.
  • D. Murray Lock and Dam
    Murray Lock and Dam is a navigation and flood-control structure on the Arkansas River near Little Rock, Arkansas, that helps regulate river flow and support commercial barge traffic.
  • E. Claiborne Lock and Dam
    Claiborne Lock and Dam is a navigation and flood-control structure on the Alabama River in Alabama, United States.
  • F. None of above. chosen

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_69d8b90916008190a1f110bd7ced5473 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ddbb3d408190b5fc7870bc6512f4 completed April 19, 2026, 1:50 p.m.
Created at: April 10, 2026, 10:28 a.m.