Triple

T3594933
Position Surface form Disambiguated ID Type / Status
Subject Nikai faction E76113 entity
Predicate hasAlternativeName P39 FINISHED
Object Nikai-ha E372082 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: Nikai-ha | Statement: [Nikai faction, hasAlternativeName, Nikai-ha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nikai-ha
Context triple: [Nikai faction, hasAlternativeName, Nikai-ha]
  • A. Nikai school chosen
    Nikai school is a political faction or group associated with the Nikai faction, likely centered around the leadership or ideology of a figure named Nikai.
  • B. Kaishintō
    Kaishintō was a prominent Meiji-era Japanese political party advocating constitutional government and liberal reforms.
  • C. Arinori
    Arinori was a given name of Mori Arinori, a prominent Meiji-era Japanese statesman and reformer known for modernizing Japan’s education system.
  • D. Takamikura
    Takamikura is the ornate imperial throne used in Kyoto for the enthronement ceremonies of Japanese emperors.
  • E. Motomiya-sai
    Motomiya-sai is a traditional Shinto festival held at Fushimi Inari Taisha in Kyoto, honoring the shrine’s deities with rituals, offerings, and vibrant celebrations.
  • 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_69ad85d8042081908af94a04c410dec0 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc15f41cc819085b3e897d823757d completed March 8, 2026, 6:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69b44efeacf481908dd9a26f348f9977 completed March 13, 2026, 5:53 p.m.
Created at: March 8, 2026, 3:22 p.m.