Triple

T702761
Position Surface form Disambiguated ID Type / Status
Subject Mor Breizh E14032 entity
Predicate hasMajorIsland P756 FINISHED
Object Sark E29748 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: Sark | Statement: [Mor Breizh, hasMajorIsland, Sark]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sark
Context triple: [Mor Breizh, hasMajorIsland, Sark]
  • A. Sark chosen
    Sark is a small, car-free island in the English Channel known for its rugged coastline, traditional feudal-style governance history, and designation as a Dark Sky Island.
  • B. Soral
    Soral is a small rural municipality in southwestern Switzerland, located in the canton of Geneva near the French border.
  • C. Satch
    Satch is a nickname for Louis Armstrong, the pioneering American jazz trumpeter and singer whose charismatic performances helped shape the development of jazz in the 20th century.
  • D. Sukki
    Sukki is one of the four snowman mascots created to represent the 1998 Winter Olympics in Nagano, Japan.
  • E. Blagg
    Blagg is a variant form of the surname "Black," typically arising as an alternative spelling in English-speaking regions.
  • 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_69a493494ec48190ae6751683625a9ba completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a532dd708190ab91e515a07b441e completed March 1, 2026, 8:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5dcae2ef88190a9ea1604429f048a completed March 2, 2026, 6:53 p.m.
Created at: March 1, 2026, 7:36 p.m.