Triple

T3841859
Position Surface form Disambiguated ID Type / Status
Subject Kootenay River E93468 entity
Predicate hasDam P8736 FINISHED
Object Libby Dam E436194 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: Libby Dam | Statement: [Kootenay River, hasDam, Libby Dam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Libby Dam
Context triple: [Kootenay River, hasDam, Libby Dam]
  • A. Libby Dam chosen
    Libby Dam is a large hydroelectric and flood-control dam on the Kootenai River in Montana that contributes significant power and water management capacity to the Columbia River Basin.
  • B. O'Shaughnessy Dam
    O'Shaughnessy Dam is a concrete arch-gravity dam in Yosemite National Park that creates the Hetch Hetchy Reservoir, supplying water and hydroelectric power to the San Francisco Bay Area.
  • C. McNary Dam
    McNary Dam is a large hydroelectric dam and navigation lock complex on the Columbia River in the Pacific Northwest of the United States.
  • D. Leaburg Dam
    Leaburg Dam is a historic hydroelectric dam on Oregon’s McKenzie River that generates power and helps regulate river flow.
  • E. Hollywood Dam
    Hollywood Dam is a concrete arch-gravity dam in the Hollywood Hills of Los Angeles that impounds the Hollywood Reservoir as part of the city’s water supply system.
  • 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_69aed96ce578819084ab16e3439976c9 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69aeebb235088190b115623e54ea2ab1 completed March 9, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b67b9e1b4081909f53466a603d7061 completed March 15, 2026, 9:27 a.m.
Created at: March 9, 2026, 3:18 p.m.