Triple

T9008123
Position Surface form Disambiguated ID Type / Status
Subject Vegalta Sendai E215395 entity
Predicate hasRival P1375 FINISHED
Object Montedio Yamagata E537014 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: Montedio Yamagata | Statement: [Vegalta Sendai, hasRival, Montedio Yamagata]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Montedio Yamagata
Context triple: [Vegalta Sendai, hasRival, Montedio Yamagata]
  • A. Montedio Yamagata chosen
    Montedio Yamagata is a professional Japanese football club based in Yamagata Prefecture that competes in the J.League.
  • B. Yamashita
    Yamashita is a Japanese surname most famously associated with General Tomoyuki Yamashita, a prominent Imperial Japanese Army commander during World War II.
  • C. Yasuhiko
    Yasuhiko is a Japanese given name notably borne by Prince Asaka Yasuhiko, a member of the Imperial Family of Japan in the early 20th century.
  • D. Noboru
    Noboru is a Japanese masculine given name commonly borne by notable figures in politics, sports, and entertainment.
  • E. Katayama Tōkuma
    Katayama Tōkuma was a prominent Meiji-era Japanese architect known for pioneering Western-style imperial and public buildings in Japan.
  • 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_69ca83a2bf088190986ee7a8eb90407d completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc69bed8588190afc9cbca12b75a3b completed April 1, 2026, 12:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69d28161b6ec8190ab91f7b00995e889 completed April 5, 2026, 3:36 p.m.
Created at: March 30, 2026, 7:06 p.m.