Triple

T6389707
Position Surface form Disambiguated ID Type / Status
Subject Kameoka E143790 entity
Predicate neighboringCity P988 FINISHED
Object Sasayama E609953 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: Sasayama | Statement: [Kameoka, neighboringCity, Sasayama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sasayama
Context triple: [Kameoka, neighboringCity, Sasayama]
  • A. Sasayama chosen
    Sasayama is a historic castle town in Hyōgo Prefecture, Japan, known for its well-preserved Edo-period streets, Sasayama Castle ruins, and traditional local cuisine.
  • B. Yoiyama
    Yoiyama is the lively evening street festival held before the main Gion Matsuri parade in Kyoto, featuring illuminated festival floats, food stalls, and traditional music.
  • C. Tsurugizaki
    Tsurugizaki was the original name of the Imperial Japanese Navy vessel that was later converted into and commissioned as the light aircraft carrier Shōhō during World War II.
  • D. Ōyama
    Ōyama is a Japanese surname borne by various notable figures in Japan’s military, political, and cultural history.
  • E. Hakatajima
    Hakatajima is an island in Japan’s Seto Inland Sea, known as one of the key islands linked by bridges along the scenic Shimanami Kaido cycling route between Honshu and Shikoku.
  • 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_69c008db906c819096f3597d55d95432 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0686cc6d481909c62a29a84a4ce8e completed March 22, 2026, 10:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69c75101ed10819083d0414fd8b6d86e completed March 28, 2026, 3:54 a.m.
Created at: March 22, 2026, 4:34 p.m.