Triple

T12190982
Position Surface form Disambiguated ID Type / Status
Subject FC Honka E290459 entity
Predicate nickName P2937 FINISHED
Object Honka E964489 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: Honka | Statement: [FC Honka, nickName, Honka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Honka
Context triple: [FC Honka, nickName, Honka]
  • A. Honka chosen
    Honka is a Finnish professional football club based in Espoo that competes in the country’s top-tier league.
  • B. Kusamakura
    Kusamakura is a 1906 novel by Natsume Sōseki that blends poetic prose, philosophical reflection, and aesthetic contemplation through the journey of an artist in a remote mountain hot-spring village.
  • C. Nanko-kita
    Nanko-kita is a district within Osaka’s artificial Sakishima Island area, known for its waterfront urban development and commercial facilities.
  • D. Hacha-Kekan
    Hacha-Kekan is a traditional cultural festival of the Karbi people that showcases their indigenous rituals, music, dance, and communal celebrations.
  • E. Hakutaka
    Hakutaka is a high-speed train service operating on Japan’s Hokuriku Shinkansen line, connecting Tokyo with cities along the Sea of Japan coast.
  • 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_69d6ab64de5881908d56eb7a75c6cc69 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91c5340248190b79379423f3a3ca1 completed April 10, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60a8d24508190b0a60ca76d775b1e completed May 2, 2026, 2:30 p.m.
Created at: April 8, 2026, 9:50 p.m.