Triple

T8761362
Position Surface form Disambiguated ID Type / Status
Subject Minamiawaji E208205 entity
Predicate borderedBy P224 FINISHED
Object Sumoto E213567 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: Sumoto | Statement: [Minamiawaji, borderedBy, Sumoto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sumoto
Context triple: [Minamiawaji, borderedBy, Sumoto]
  • A. Sumoto chosen
    Sumoto is a coastal city located on Awaji Island in Japan, known for its hot springs, scenic views of the Seto Inland Sea, and citrus production.
  • B. Ichigaya
    Ichigaya is a central Tokyo district known for its major railway station, government and educational institutions, and proximity to the Imperial Palace area.
  • C. Ushijima
    Ushijima is a Japanese surname borne by various notable individuals, including military figures and fictional characters.
  • D. Sunpu
    Sunpu is the former name of the Japanese castle town that developed into modern Shizuoka City, historically known as a key stronghold of the Tokugawa shogunate.
  • E. Takatsuki
    Takatsuki is a city in northern Osaka Prefecture, Japan, known as a residential and commercial hub between Osaka and Kyoto.
  • 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_69ca835df7e08190ac875664cca8f9ca completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5dfa9d6c81908c4c6b3a6f84f67d completed March 31, 2026, 11:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69d534fbc3fc8190b64611ef1de92865 completed April 7, 2026, 4:46 p.m.
Created at: March 30, 2026, 6:40 p.m.