Triple

T15254233
Position Surface form Disambiguated ID Type / Status
Subject Gig Harbor E364602 entity
Predicate hasViewOf P854 FINISHED
Object Mount Rainier E31848 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 Rainier | Statement: [Gig Harbor, hasViewOf, Mount Rainier]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Rainier
Context triple: [Gig Harbor, hasViewOf, Mount Rainier]
  • A. Mount Rainier chosen
    Mount Rainier is a massive glaciated stratovolcano in Washington State and one of the most prominent and potentially hazardous volcanoes in the United States.
  • B. Mount Baker
    Mount Baker is an active glaciated stratovolcano in the North Cascades of Washington State, known for its heavy snowfall and prominent, snow-covered peak.
  • C. Mount Hood
    Mount Hood is a prominent potentially active stratovolcano in northern Oregon and a major landmark and recreation destination in the Cascade Range.
  • D. Rainier
    Rainier is a masculine given name most famously borne by Rainier III, the longtime Prince of Monaco.
  • E. Glacier Peak
    Glacier Peak is a glaciated stratovolcano in Washington State, known as one of the major and more remote volcanoes of the Cascade Range.
  • 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_69d85a0dde7481908fc64d1e82d5d20d completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e007f8cb308190933c4478aa096e24 completed April 15, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff2190cd748190b87279605280c54c completed May 9, 2026, 11:59 a.m.
Created at: April 10, 2026, 3:13 a.m.