Triple

T25989705
Position Surface form Disambiguated ID Type / Status
Subject Minobu Line E646310 entity
Predicate hasBridgeOver P386 FINISHED
Object Fuji River E1298776 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: Fuji River | Statement: [Minobu Line, hasBridgeOver, Fuji River]

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_69e77e881fc08190ba1c8dc7e2a07f97 completed April 21, 2026, 1:41 p.m.
NER Named-entity recognition batch_69f605469f7881909fb9d981d79def18 completed May 2, 2026, 2:08 p.m.
NED1 Entity disambiguation (via context triple) batch_6a4035ee0b0481908be6705df4b332ef completed June 27, 2026, 8:43 p.m.
Created at: April 22, 2026, 8:55 a.m.