Triple

T15158797
Position Surface form Disambiguated ID Type / Status
Subject Hozuki-ichi E362151 entity
Predicate associatedWith P37 FINISHED
Object Asakusa Shrine E252443 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: Asakusa Shrine | Statement: [Hozuki-ichi, associatedWith, Asakusa Shrine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Asakusa Shrine
Context triple: [Hozuki-ichi, associatedWith, Asakusa Shrine]
  • A. Asakusa Shrine chosen
    Asakusa Shrine is a historic Shinto shrine in Tokyo, Japan, renowned for its close association with the nearby Sensō-ji Temple and its role in the famous Sanja Matsuri festival.
  • B. Nezu Shrine
    Nezu Shrine is a historic Shinto shrine in Tokyo renowned for its lush grounds, vermilion torii tunnel, and traditional architecture.
  • C. Sensō-ji
    Sensō-ji is Tokyo’s oldest and one of its most famous Buddhist temples, renowned for its iconic Kaminarimon gate and bustling Asakusa temple complex.
  • D. Kamigamo Shrine
    Kamigamo Shrine is one of Kyoto’s oldest and most important Shinto shrines, renowned for its historic architecture and role in the Kamo faith tradition.
  • E. Asakusa Engei Hall
    Asakusa Engei Hall is a historic Tokyo entertainment venue renowned for its traditional rakugo comic storytelling and variety performances.
  • 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_69d85a087b7c81908baa94a53dac8d68 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0060dd71881908ecc4a4f52d438a5 completed April 15, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c78f36d88190a39f407c5d8dbc0d completed May 10, 2026, 5:59 p.m.
Created at: April 10, 2026, 3:08 a.m.