Triple

T7488544
Position Surface form Disambiguated ID Type / Status
Subject Ejer Bavnehøj E176944 entity
Predicate locatedIn P40 FINISHED
Object Eastern Jutland E176943 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: Eastern Jutland | Statement: [Ejer Bavnehøj, locatedIn, Eastern Jutland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eastern Jutland
Context triple: [Ejer Bavnehøj, locatedIn, Eastern Jutland]
  • A. West Jutland
    West Jutland is a coastal region in western Denmark known for its North Sea shoreline, windswept dunes, and rural landscapes.
  • B. South Jutland
    South Jutland is the southernmost region of the Jutland Peninsula, spanning parts of Denmark and historically bordering northern Germany, known for its mixed Danish-German heritage and coastal landscapes.
  • C. Central Jutland
    Central Jutland is a region in the middle of the Jutland Peninsula in Denmark, known for its mix of urban centers, agricultural landscapes, and coastal areas.
  • D. East Jutland chosen
    East Jutland is a populous and economically significant region in eastern Denmark, encompassing major cities such as Aarhus along the eastern coast of the Jutland Peninsula.
  • E. Østlandet
    Østlandet is the most populous region of southeastern Norway, encompassing the capital city Oslo and surrounding inland and coastal areas.
  • 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_69c69f24ac508190bb98fe927c0bd065 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f55965ac81909d3c3a5422b22d44 completed March 27, 2026, 9:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8a204ffc0819096f632f225d290dd completed March 29, 2026, 3:52 a.m.
Created at: March 27, 2026, 3:43 p.m.