Triple

T934182
Position Surface form Disambiguated ID Type / Status
Subject Heracles E20157 entity
Predicate deathPlace P21 FINISHED
Object Mount Oeta E130229 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 Oeta | Statement: [Heracles, deathPlace, Mount Oeta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Oeta
Context triple: [Heracles, deathPlace, Mount Oeta]
  • A. Mount Oeta chosen
    Mount Oeta is a mountain in central Greece famed in Greek mythology as the site of Heracles’ death and apotheosis.
  • 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 Tanigawa
    Mount Tanigawa is a prominent peak on the border of Gunma and Niigata Prefectures in Japan, known for its rugged terrain, heavy snowfall, and popularity among climbers and hikers.
  • D. Kurohime-yama
    Kurohime-yama is a subsidiary peak of Japan’s Mount Akagi, known as part of the volcanic mountain’s multi-summit range in Gunma Prefecture.
  • E. Mount Akagi
    Mount Akagi is a prominent volcanic mountain in Japan’s Gunma Prefecture, known for its caldera lakes, scenic hiking trails, and cultural significance in local folklore.
  • 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_69a493af3dc48190adb7263e6e445ea1 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b363ea5c819098ec1d87f785bad4 completed March 1, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac5e990be881908b47d88074339470 completed March 7, 2026, 5:21 p.m.
Created at: March 1, 2026, 7:40 p.m.