Triple

T15145819
Position Surface form Disambiguated ID Type / Status
Subject Province of Turin E361802 entity
Predicate hasMajorRiver P165 FINISHED
Object Chisone E497804 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: Chisone | Statement: [Province of Turin, hasMajorRiver, Chisone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chisone
Context triple: [Province of Turin, hasMajorRiver, Chisone]
  • A. Chisone chosen
    The Chisone is a river in northwestern Italy that flows through the Piedmont region and contributes to the hydrography of the Metropolitan City of Turin.
  • B. Ishim
    Ishim is a small historic town in Tyumen Oblast, Russia, located on the Ishim River in southwestern Siberia.
  • C. Tamakoshi River
    The Tamakoshi River is a significant Himalayan river in Nepal known for its hydropower potential and contribution to the Koshi river system.
  • D. Kamanashi River
    The Kamanashi River is a major river in central Japan that flows through Yamanashi Prefecture as part of the upper Fuji River system.
  • E. Ishikari River
    The Ishikari River is one of Japan’s longest rivers, flowing through central Hokkaido and playing a key role in the region’s agriculture and settlement.
  • 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_69d85a0759908190b8a051d2e2a1cbe6 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e005c71b688190b2e8ccfdf4db9037 completed April 15, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_6a03d75acf8c819097af363f3ba93ae0 completed May 13, 2026, 1:43 a.m.
Created at: April 10, 2026, 3:07 a.m.