Triple

T9892582
Position Surface form Disambiguated ID Type / Status
Subject GSIST E181486 entity
Predicate region P40 FINISHED
Object Kanto E51702 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: Kanto | Statement: [GSIST, region, Kanto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kanto
Context triple: [GSIST, region, Kanto]
  • A. Kanto chosen
    Kanto is a major geographical and metropolitan region of eastern Japan that includes Tokyo and several surrounding prefectures.
  • B. Unova
    Unova is a major fictional region in the Pokémon series, inspired by New York City and serving as the primary setting of the Generation V games Pokémon Black and White and their sequels.
  • C. Alola
    Alola is a tropical, Hawaii-inspired region in the Pokémon series known for its island setting, regional variants, and focus on island trials instead of traditional gyms.
  • D. Sinnoh
    Sinnoh is a major fictional region in the Pokémon series, known for its snowy landscapes, mountainous terrain, and role as the setting of the Generation IV games Pokémon Diamond, Pearl, and Platinum.
  • E. Kalos
    Kalos is a fictional region in the Pokémon series, inspired by France and featured primarily in the Pokémon X and Y games.
  • 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_69ca8283a6708190801af7a25a7ebb9f completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cdb4814a3c8190ab1fd7f755a44508 completed April 2, 2026, 12:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69d20d888b408190a68ff55d63558478 completed April 5, 2026, 7:21 a.m.
Created at: March 30, 2026, 8:39 p.m.