Triple

T3967656
Position Surface form Disambiguated ID Type / Status
Subject Japanese battleship Mikasa E92254 entity
Predicate namedAfter P63 FINISHED
Object Mount Mikasa E299666 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 Mikasa | Statement: [Japanese battleship Mikasa, namedAfter, Mount Mikasa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Mikasa
Context triple: [Japanese battleship Mikasa, namedAfter, Mount Mikasa]
  • A. Mount Suiro
    Mount Suiro is the tallest mountain on Biliran Island in the Philippines, forming a prominent part of the island’s volcanic landscape.
  • B. Mount Katsuragi chosen
    Mount Katsuragi is a mountain on the border of Nara and Osaka Prefectures in Japan, known for its scenic hiking trails and seasonal flower displays, especially azaleas.
  • C. Mount Haruna
    Mount Haruna is an active stratovolcano in Gunma Prefecture, Japan, known for its scenic caldera lake, hot springs, and popular hiking and sightseeing spots.
  • D. Mount Asahi
    Mount Asahi is the highest peak in Japan’s Hokkaido region, known for its volcanic activity, alpine scenery, and popular hiking and skiing routes.
  • E. Mount Moiwa
    Mount Moiwa is a forested mountain on the outskirts of Sapporo, Japan, famous for its ropeway, ski area, and panoramic night views over the city.
  • 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_69aed96624188190ac8c45bb57ab72b5 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef978a14c8190a7982a2e4489b6ea completed March 9, 2026, 4:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5a831b0408190a0862803844d779d completed March 14, 2026, 6:25 p.m.
Created at: March 9, 2026, 3:32 p.m.