Triple

T11414191
Position Surface form Disambiguated ID Type / Status
Subject Mid West E270446 entity
Predicate containsTown P847 FINISHED
Object Mount Magnet E924277 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: Mount Magnet | Statement: [Mid West, containsTown, Mount Magnet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Magnet
Context triple: [Mid West, containsTown, Mount Magnet]
  • A. Mount Magnet chosen
    Mount Magnet is a small historic gold-mining town in Western Australia known as one of the state’s oldest continuous goldfields settlements.
  • B. Giant Mountain
    Giant Mountain is a prominent peak in New York’s Adirondack High Peaks, known for its steep trails and expansive views over the surrounding wilderness.
  • C. Thunder Mountain
    Thunder Mountain is a prominent peak in California’s Sierra Nevada, known for its rugged alpine terrain and scenic views within Sequoia National Park.
  • D. Thunder Mountain
    Thunder Mountain is a volcanic peak in West Java, Indonesia, known for its frequent rumbling activity and scenic hiking routes.
  • E. Thunderhead Mountain
    Thunderhead Mountain is a prominent peak in the Great Smoky Mountains of the southeastern United States, known for its rugged terrain, scenic vistas, and location along the Appalachian Trail.
  • 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_69d6aaddeaa8819088b30ef7b50598c9 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d801acd9bc81908a23b1b7b4e778d3 completed April 9, 2026, 7:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5d352283c8190b3ae7cefbd3bd5da completed April 20, 2026, 7:18 a.m.
Created at: April 8, 2026, 9:34 p.m.