Triple

T7480552
Position Surface form Disambiguated ID Type / Status
Subject Ikoma E176744 entity
Predicate hasLandmark P105 FINISHED
Object Mount Ikoma E669873 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 Ikoma | Statement: [Ikoma, hasLandmark, Mount Ikoma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Ikoma
Context triple: [Ikoma, hasLandmark, Mount Ikoma]
  • A. Mount Ikoma chosen
    Mount Ikoma is a prominent mountain on the border of Osaka and Nara prefectures in Japan, known for its scenic views, temples, and popular hiking and leisure facilities.
  • B. Mount Ochi
    Mount Ochi is a prominent mountain in southern Euboea, Greece, known for its rugged landscape, hiking trails, and ancient drakospita (dragon houses) stone structures near its summit.
  • C. Mount Atago
    Mount Atago is a prominent mountain in Japan, revered for its Shinto shrines and historical significance as a site dedicated to the fire deity Atago Gongen.
  • D. 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.
  • E. 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.
  • 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_69c69f236ce08190a04d7679f03b29b2 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f532f4488190b6edaa96099c3b8f completed March 27, 2026, 9:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8613eaf0c8190b33cb22dd83ee59c completed March 28, 2026, 11:16 p.m.
Created at: March 27, 2026, 3:42 p.m.