Triple

T10441255
Position Surface form Disambiguated ID Type / Status
Subject Schleswig E246174 entity
Predicate hasNearbySite P350 FINISHED
Object Hedeby E811933 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: Hedeby | Statement: [Schleswig, hasNearbySite, Hedeby]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hedeby
Context triple: [Schleswig, hasNearbySite, Hedeby]
  • A. Haithabu (Hedeby) chosen
    Haithabu (Hedeby) was a major Viking Age trading town and early medieval settlement in present-day northern Germany, known as one of the most important commercial and cultural hubs of Scandinavia.
  • B. Wolgast
    Wolgast is a small town in northeastern Germany on the Baltic Sea coast, historically significant as a port and former naval base.
  • C. Heukelum
    Heukelum is a small historic town in the Dutch province of Gelderland, situated along the river Linge and known for its picturesque old center and surrounding countryside.
  • D. Padborg
    Padborg is a Danish town in Southern Jutland known as an important transport and border crossing hub between Denmark and Germany.
  • E. Skanderborg
    Skanderborg is a Danish town in Jutland known for its lakeside setting and annual music festival, Smukfest.
  • 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_69d381c04fe08190957c26c526a3b05a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4fb9ebf488190ae776bd65e94cb00 completed April 7, 2026, 12:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69d87ed6edd88190afd5063daba58a46 completed April 10, 2026, 4:38 a.m.
Created at: April 6, 2026, 12:15 p.m.