Triple

T2202761
Position Surface form Disambiguated ID Type / Status
Subject Japanese Alps E50527 entity
Predicate highestPoint P210 FINISHED
Object Mount Kita E205585 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 Kita | Statement: [Japanese Alps, highestPoint, Mount Kita]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Kita
Context triple: [Japanese Alps, highestPoint, Mount Kita]
  • A. Mount Kita chosen
    Mount Kita is Japan's second-highest mountain, a prominent peak in the Akaishi Mountains renowned for its alpine scenery and popular hiking routes.
  • B. 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.
  • C. 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.
  • D. Mount Oeta
    Mount Oeta is a mountain in central Greece famed in Greek mythology as the site of Heracles’ death and apotheosis.
  • E. Mount Hachiman
    Mount Hachiman is a scenic hill in Ōmihachiman, Shiga Prefecture, known for its historical significance, hiking trails, and panoramic views over the city and Lake Biwa.
  • 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_69a88b044ab48190add007487680f009 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abbfa33f0881908403604eafb73ecf completed March 7, 2026, 6:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae65473fd48190b58dba4205776096 completed March 9, 2026, 6:14 a.m.
Created at: March 4, 2026, 7:46 p.m.