Triple

T9689194
Position Surface form Disambiguated ID Type / Status
Subject Sanja Matsuri E234494 entity
Predicate associatedShrine P27875 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: [Sanja Matsuri, associatedShrine, Asakusa Shrine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Asakusa Shrine
Context triple: [Sanja Matsuri, associatedShrine, 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_69ca84ca73208190957a900c8543bdcc completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9d019d40819095059a4d6167900a completed April 1, 2026, 10:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69d2b58f7ea08190a96d88bafe9d4308 completed April 5, 2026, 7:18 p.m.
Created at: March 30, 2026, 8:17 p.m.