Triple

T11012794
Position Surface form Disambiguated ID Type / Status
Subject Tokushima Prefecture E260284 entity
Predicate capital P234 FINISHED
Object Tokushima City E717604 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: Tokushima City | Statement: [Tokushima Prefecture, capital, Tokushima City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tokushima City
Context triple: [Tokushima Prefecture, capital, Tokushima City]
  • A. Tokushima City chosen
    Tokushima City is the capital of Tokushima Prefecture on Japan’s Shikoku Island, known as a regional cultural and economic center and famous for its Awa Odori dance festival.
  • B. Tagajō City
    Tagajō City is a coastal municipality in northeastern Japan known for its historic Taga Castle ruins and role as an ancient regional administrative center.
  • C. Shiogama City
    Shiogama City is a coastal city in northeastern Japan known for its historic Shinto shrine, fishing and seafood industry, and scenic harbor views.
  • D. Tomiya City
    Tomiya City is a municipality in northeastern Japan known for its suburban residential character and proximity to the regional center of Sendai.
  • E. Miyakonojo City
    Miyakonojo City is a regional city in southern Japan known for its agriculture, livestock production, and location within Miyazaki Prefecture on the island of Kyushu.
  • 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_69d6aa9687448190b28d353b1b6a610e completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7978b1e888190b297f107f6021b59 completed April 9, 2026, 12:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff5f1f80648190a4a0e8260ac95194 completed May 9, 2026, 4:21 p.m.
Created at: April 8, 2026, 9:25 p.m.