Triple

T6881965
Position Surface form Disambiguated ID Type / Status
Subject Leif Erikson E158818 entity
Predicate explored P1562 FINISHED
Object Vinland E357712 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: Vinland | Statement: [Leif Erikson, explored, Vinland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vinland
Context triple: [Leif Erikson, explored, Vinland]
  • A. Vinland chosen
    Vinland is the name given in Norse sagas to a region of coastal North America explored by Viking seafarers around the 10th–11th centuries, often identified with areas of Atlantic Canada.
  • B. Vestland
    Vestland is a county in western Norway known for its dramatic fjords, coastal landscapes, and the city of Bergen.
  • C. Skaland
    Skaland is a small coastal village on the island of Senja in northern Norway, known for its scenic fjord landscape and proximity to rugged mountains.
  • D. Svealand
    Svealand is the central region of Sweden, historically significant as the country's core area and home to the capital city, Stockholm.
  • E. Hälsingland
    Hälsingland is a historical province in central Sweden known for its traditional decorated farmhouses, forests, and cultural heritage.
  • 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_69c688342f6c8190ad7eea6ba262db99 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d8e90c9481908d00634f67fa71f8 completed March 27, 2026, 7:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c742d00d848190a4bab9800a7e3888 completed March 28, 2026, 2:54 a.m.
Created at: March 27, 2026, 2:23 p.m.