Triple

T15145823
Position Surface form Disambiguated ID Type / Status
Subject Province of Turin E361802 entity
Predicate hasSubregion P285 FINISHED
Object Chisone Valley 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 Valley | Statement: [Province of Turin, hasSubregion, Chisone Valley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chisone Valley
Context triple: [Province of Turin, hasSubregion, Chisone Valley]
  • A. Akigawa Valley
    Akigawa Valley is a scenic river gorge near Tokyo known for its lush forests, clear streams, hiking trails, and popular spots for outdoor recreation and autumn foliage viewing.
  • B. 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.
  • C. Usho Valley
    Usho Valley is a scenic alpine valley in Pakistan’s Swat region, known for its lush forests, rivers, and proximity to popular tourist spots like Mahodand Lake.
  • D. Kana Valley
    Kana Valley is a scenic mountainous valley located in Pakistan’s Shangla District, known for its natural beauty and rural landscapes.
  • E. Ourika Valley
    Ourika Valley is a scenic river valley in the Atlas Mountains of Morocco, known for its traditional Berber villages, waterfalls, and popular day trips from Marrakech.
  • 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_6a0025e9b00c81908cb5f305c894363f completed May 10, 2026, 6:30 a.m.
Created at: April 10, 2026, 3:07 a.m.