Triple

T14149825
Position Surface form Disambiguated ID Type / Status
Subject Lake Barkley E350648 entity
Predicate formedBy P972 FINISHED
Object Barkley Dam E893022 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: Barkley Dam | Statement: [Lake Barkley, formedBy, Barkley Dam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Barkley Dam
Context triple: [Lake Barkley, formedBy, Barkley Dam]
  • A. Barkley Dam chosen
    Barkley Dam is a major hydroelectric and flood-control dam in western Kentucky that helps form Lake Barkley and supports navigation, power generation, and recreation in the region.
  • B. Brantley Dam
    Brantley Dam is a major flood-control and irrigation reservoir structure on the Pecos River in southeastern New Mexico.
  • C. Barker Dam
    Barker Dam is a historic water reservoir and popular scenic spot located within Joshua Tree National Park in California.
  • D. Granger Dam
    Granger Dam is a flood-control and water-management structure located on the San Gabriel River in Southern California.
  • E. Bartlett Dam
    Bartlett Dam is a concrete multiple-arch dam in central Arizona that creates Bartlett Lake, providing water storage, flood control, and recreation on the Verde River.
  • 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_69d827865f608190b311820428ae027b completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61237ef481909374c1f68a2370b7 completed April 14, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffdbb445a48190ba3dafb1f076ac83 completed May 10, 2026, 1:13 a.m.
Created at: April 10, 2026, 12:55 a.m.