Triple

T12614166
Position Surface form Disambiguated ID Type / Status
Subject Saio-dai E301208 entity
Predicate associatedWith P37 FINISHED
Object Aoi Matsuri E54971 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: Aoi Matsuri | Statement: [Saio-dai, associatedWith, Aoi Matsuri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aoi Matsuri
Context triple: [Saio-dai, associatedWith, Aoi Matsuri]
  • A. Aoi Matsuri chosen
    Aoi Matsuri is one of Kyoto’s oldest and most important traditional festivals, featuring Heian-period costumed processions to the Kamo shrines each May.
  • B. Matsuri
    "Matsuri" is a notable musical work by Japanese new-age musician Kitaro, known for its evocative, festival-inspired soundscapes.
  • C. Jidai Matsuri
    Jidai Matsuri is a major annual historical parade in Kyoto that celebrates the city’s rich past with participants dressed in costumes from various eras of Japanese history.
  • D. Otsu Matsuri
    Otsu Matsuri is a traditional autumn festival in Ōtsu, Shiga Prefecture, known for its elaborately decorated festival floats and lively street processions.
  • E. Saki Matsuri
    Saki Matsuri is the first of the two main parade events in Kyoto’s famous Gion Matsuri festival, featuring elaborate floats that process through the city streets in mid-July.
  • 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_69d7bdeaf49c8190b13800111fa77ea3 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d960c4f5b48190af76414ef678ba7c completed April 10, 2026, 8:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6fef8d94081908ea5ac426e22ef87 completed May 3, 2026, 7:53 a.m.
Created at: April 9, 2026, 5:12 p.m.