Triple

T14971239
Position Surface form Disambiguated ID Type / Status
Subject Northern Ume Sami E373323 entity
Predicate subdivisionOf P258 FINISHED
Object Ume Sami E74349 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: Ume Sami | Statement: [Northern Ume Sami, subdivisionOf, Ume Sami]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ume Sami
Context triple: [Northern Ume Sami, subdivisionOf, Ume Sami]
  • A. Ume Sami chosen
    Ume Sami is an endangered Uralic language traditionally spoken by the Sami people in parts of northern Sweden.
  • B. Isami
    Isami was a 14th-century Indian historian and poet best known for his Persian chronicle "Futuh-us-Salatin," which records the political and military history of the Delhi Sultanate, including the Mongol invasions of India.
  • C. Sanae
    Sanae is a Japanese feminine given name borne by various notable figures in politics, entertainment, and other fields.
  • D. Umeki
    Umeki is a Japanese surname most notably associated with Academy Award–winning actress and singer Miyoshi Umeki.
  • E. Katsumi
    Katsumi is a minor character appearing in the story "Sayonara," contributing to its supporting cast and narrative development.
  • 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_69d85ccbbcd48190acb56e7cf104d8ad completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded6e59a7c8190a1634a706ea68fda completed April 15, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe9692e4fc8190a1194a41fc8a832c completed May 9, 2026, 2:06 a.m.
Created at: April 10, 2026, 2:49 a.m.