Triple

T14340716
Position Surface form Disambiguated ID Type / Status
Subject Temple 4: Dainichiji E355591 entity
Predicate locatedIn P40 FINISHED
Object Tokushima City NE NERFINISHED

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: [Temple 4: Dainichiji, locatedIn, Tokushima City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tokushima City
Context triple: [Temple 4: Dainichiji, locatedIn, 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. Komatsushima City
    Komatsushima City is a coastal municipality in eastern Shikoku, Japan, known for its port, citrus production, and role as a regional commercial center.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8278fa2108190bc0d0e7939c1eb03 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8e8674c0819091dfbe9c50778c5e completed April 14, 2026, 6:59 p.m.
Created at: April 10, 2026, 1:14 a.m.