Triple

T30460442
Position Surface form Disambiguated ID Type / Status
Subject Suzuka River E774988 entity
Predicate drainageBasinCountry P411 FINISHED
Object Japan E174 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: Japan | Statement: [Suzuka River, drainageBasinCountry, 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_69f22494fb60819095d893de0284f886 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f686f01dc88190a6ca46fc5c80a486 completed May 2, 2026, 11:21 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2798a8c53c81909e68bde70085b2c3 completed June 9, 2026, 4:38 a.m.
Created at: April 29, 2026, 8:10 p.m.