Triple

T14426643
Position Surface form Disambiguated ID Type / Status
Subject Markland E357713 entity
Predicate associatedWith P37 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: [Markland, associatedWith, Vinland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vinland
Context triple: [Markland, associatedWith, 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. Norse Greenland
    Norse Greenland was a medieval Scandinavian colony in Greenland whose decline and disappearance serve as a classic historical example of societal collapse.
  • C. Vestland
    Vestland is a county in western Norway known for its dramatic fjords, coastal landscapes, and the city of Bergen.
  • D. Skåneland
    Skåneland is a historical region in southern Scandinavia encompassing the provinces around present-day Skåne, known for its shifting rule between Denmark and Sweden and its central role in medieval Nordic history.
  • E. Austurland
    Austurland is a sparsely populated region in eastern Iceland known for its dramatic fjords, coastal villages, and rugged natural landscapes.
  • 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_69d8279402a88190821ffa39ae15bccf completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de911398f08190be85bc0a8bef6b1b completed April 14, 2026, 7:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd6d82f9ec81909e52485f6ec1837e completed May 8, 2026, 4:58 a.m.
Created at: April 10, 2026, 1:18 a.m.