Triple

T11853569
Position Surface form Disambiguated ID Type / Status
Subject Yokosuka E281970 entity
Predicate hasSisterCity P919 FINISHED
Object Aizuwakamatsu E976811 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: Aizuwakamatsu | Statement: [Yokosuka, hasSisterCity, Aizuwakamatsu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aizuwakamatsu
Context triple: [Yokosuka, hasSisterCity, Aizuwakamatsu]
  • A. Aizuwakamatsu chosen
    Aizuwakamatsu is a historic castle town in western Fukushima Prefecture, Japan, known for Tsuruga Castle, samurai heritage, and traditional sake breweries.
  • B. Fukusaki
    Fukusaki is a town in Hyōgo Prefecture, Japan, known for its rural setting and association with folklorist Kunio Yanagita.
  • C. Nihonmatsu
    Nihonmatsu is a historic city in northeastern Japan known for its castle ruins, traditional festivals, and scenic views of nearby Mount Adatara.
  • D. 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.
  • E. Oyamazaki
    Oyamazaki is a town in Kyoto Prefecture, Japan, known for its historical significance and scenic location at the confluence of major rivers and transportation routes.
  • 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_69d6ab287ba48190a5178779fd19b9b7 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a696ee548190800d56c64c339b10 completed April 10, 2026, 7:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff01ce8f988190b503af0cd5f2a97e completed May 9, 2026, 9:43 a.m.
Created at: April 8, 2026, 9:43 p.m.