Triple

T3425265
Position Surface form Disambiguated ID Type / Status
Subject Mori Arinori E72214 entity
Predicate familyName P18 FINISHED
Object Mori E18131 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: Mori | Statement: [Mori Arinori, familyName, Mori]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mori
Context triple: [Mori Arinori, familyName, Mori]
  • A. Mori chosen
    Mori is a Japanese surname shared by various notable individuals across fields such as entertainment, sports, and politics.
  • B. Murayama
    Murayama is a Japanese surname borne by various notable individuals across fields such as politics, science, and the arts.
  • C. Awaji
    Awaji is a city located on Awaji Island in Japan, known for its scenic coastal landscapes, agriculture, and role as a gateway between Honshu and Shikoku.
  • D. Miyazu
    Miyazu is a coastal city in northern Kyoto Prefecture, Japan, best known as the gateway to the scenic sandbar Amanohashidate, one of Japan’s traditional “Three Views.”
  • E. Nishiwaki
    Nishiwaki is a city in central Hyōgo Prefecture, Japan, known for its location near the geographic center of the country and its mix of industrial and rural landscapes.
  • 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_69ad85ae14308190bcbc25cfa0246c0b completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb97fa2d88190a79cb8c7be4b3696 completed March 8, 2026, 6:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4faec5fc4819090c8f55b819d436c completed March 14, 2026, 6:06 a.m.
Created at: March 8, 2026, 3:15 p.m.