Triple

T14446738
Position Surface form Disambiguated ID Type / Status
Subject 100 Famous Japanese Mountains E358227 entity
Predicate hasPart P35 FINISHED
Object Mount Iwate E442764 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 Iwate | Statement: [100 Famous Japanese Mountains, hasPart, Mount Iwate]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Iwate
Context triple: [100 Famous Japanese Mountains, hasPart, Mount Iwate]
  • A. Mount Iwate chosen
    Mount Iwate is a prominent stratovolcano in Japan’s Tōhoku region, known for its symmetrical cone, scenic hiking routes, and status as the highest peak in Iwate Prefecture.
  • B. Mount Hakkoda
    Mount Hakkoda is a volcanic mountain complex in northern Honshu, Japan, known for its heavy snowfall, scenic hiking, and tragic 1902 military snowstorm disaster.
  • C. Mount Hakodate
    Mount Hakodate is a scenic mountain in Hakodate, Japan, famous for its panoramic night views over the city and harbor.
  • D. Mount Akaishi
    Mount Akaishi is one of Japan’s major high peaks, known for its rugged alpine terrain and scenic vistas within the country’s central mountain ranges.
  • E. Mount Akita-Komagatake
    Mount Akita-Komagatake is an active stratovolcano in Japan’s Tōhoku region, known for its alpine flora, hiking trails, and panoramic views over surrounding lakes and mountains.
  • 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_69d82794dfa081909b9134ad2e32244b completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de9160126c8190a2862a1a3dde1aff completed April 14, 2026, 7:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69fee5dc9b908190b1d7583810dc9c41 completed May 9, 2026, 7:44 a.m.
Created at: April 10, 2026, 1:19 a.m.