Triple

T15691578
Position Surface form Disambiguated ID Type / Status
Subject Kamiari Festival E380343 entity
Predicate alsoKnownAs P39 FINISHED
Object Kamiarisai E875704 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: Kamiarisai | Statement: [Kamiari Festival, alsoKnownAs, Kamiarisai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kamiarisai
Context triple: [Kamiari Festival, alsoKnownAs, Kamiarisai]
  • A. Kamiari-sai chosen
    Kamiari-sai is a major Shinto festival held in Izumo, Japan, during which it is believed that all the gods from across the country gather at Izumo Taisha Shrine for an annual divine assembly.
  • B. Kamenari
    Kamenari is a small coastal village in Montenegro known for its ferry crossing and scenic location on the Bay of Kotor.
  • C. Kami
    Kami is a Japanese rapper and member of the hip hop duo SaveMoney, known for his energetic style and contributions to Chicago’s alternative rap scene.
  • D. Karaiyamai
    Karaiyamai is a locality situated within Madhesh Province in southeastern Nepal.
  • E. Oschiri
    Oschiri is a small town and comune in the Gallura region of northern Sardinia, Italy, known for its rural landscape and archaeological sites.
  • 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_69d86d99e860819094b6957cde470f2c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04f4e59988190aaf12f6a07c8f0e4 completed April 16, 2026, 2:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff756ffcc88190a72440c7b40711ff completed May 9, 2026, 5:57 p.m.
Created at: April 10, 2026, 4:44 a.m.