Triple

T19834360
Position Surface form Disambiguated ID Type / Status
Subject Lake Gaston E476547 entity
Predicate hasDam P8736 FINISHED
Object Gaston Dam 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: Gaston Dam | Statement: [Lake Gaston, hasDam, Gaston Dam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gaston Dam
Context triple: [Lake Gaston, hasDam, Gaston Dam]
  • A. Gaston Dam chosen
    Gaston Dam is a hydroelectric dam on the Roanoke River in North Carolina that forms Lake Gaston and helps provide power and water management for the region.
  • B. Leesville Dam
    Leesville Dam is a hydroelectric and flood-control structure on the Roanoke River in Virginia that creates Leesville Lake.
  • C. Hartwell Dam
    Hartwell Dam is a large hydroelectric and flood-control dam on the Savannah River that creates Lake Hartwell along the Georgia–South Carolina border.
  • D. Rollins Dam
    Rollins Dam is a concrete gravity dam in Nevada County, California, that creates Rollins Reservoir for water storage, hydroelectric power generation, and recreation on the Bear River.
  • E. Beauregard Dam
    Beauregard Dam is a hydroelectric dam located in the Valgrisenche valley in Italy’s Aosta Valley region.
  • 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_69d8e51c7c188190b926f3a2a7b5f881 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e656d0347c8190b586c7fe01b61e97 completed April 20, 2026, 4:39 p.m.
Created at: April 10, 2026, 1:50 p.m.