Triple

T27487726
Position Surface form Disambiguated ID Type / Status
Subject Faculty of Education, Niigata University E693787 entity
Predicate supervisingOrganization P9686 FINISHED
Object Ministry of Education, Culture, Sports, Science and Technology of Japan E3832 NE FINISHED

How this triple was built (1 step)

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: Ministry of Education, Culture, Sports, Science and Technology of Japan | Statement: [Faculty of Education, Niigata University, supervisingOrganization, Ministry of Education, Culture, Sports, Science and Technology of Japan]

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_69ef5382b9648190be0b1ef2ad5d043c completed April 27, 2026, 12:16 p.m.
NER Named-entity recognition batch_69f62e86625081909d5cc4b5fc1bd3d5 completed May 2, 2026, 5:04 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12c5a58e0c81909a1feefbe729d7b7 completed May 24, 2026, 9:32 a.m.
Created at: April 27, 2026, 1:03 p.m.