Triple

T16021456
Position Surface form Disambiguated ID Type / Status
Subject Mount Tokachi E388606 entity
Predicate isPartOf P10 FINISHED
Object Ring of Fire E6943 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: Ring of Fire | Statement: [Mount Tokachi, isPartOf, Ring of Fire]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ring of Fire
Context triple: [Mount Tokachi, isPartOf, Ring of Fire]
  • A. Ring of Fire
    "Ring of Fire" is a classic country song, popularized by Johnny Cash, that vividly depicts the consuming nature of passionate love.
  • B. Ring of Fire chosen
    The Ring of Fire is a vast horseshoe-shaped zone of frequent earthquakes and intense volcanic activity encircling much of the Pacific Ocean basin.
  • C. Nation of Fire
    Nation of Fire is an alternative name for the Mascouten, a Native American people historically located in the Great Lakes region.
  • D. Triangle of Fire
    The Triangle of Fire is a historic coastal defense network of three forts that once protected the entrance to Puget Sound in Washington State.
  • E. Ring of Fire II: Blood and Steel
    Ring of Fire II: Blood and Steel is an action film featuring martial artist and actor Roger Yuan in a prominent role.
  • 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_69d86dabcb7c8190b6a39d6831d2fa1b completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e183231f2c81908f4e4037c3aa180b completed April 17, 2026, 12:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffcf2c6128819091d8f3710578834e completed May 10, 2026, 12:19 a.m.
Created at: April 10, 2026, 4:55 a.m.