Triple

T6886822
Position Surface form Disambiguated ID Type / Status
Subject Duchy of Schleswig E158942 entity
Predicate hasMajorTown P316 FINISHED
Object Husum E246172 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: Husum | Statement: [Duchy of Schleswig, hasMajorTown, Husum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Husum
Context triple: [Duchy of Schleswig, hasMajorTown, Husum]
  • A. Husum chosen
    Husum is a small coastal town in northern Germany known for its North Sea harbor, maritime heritage, and role as a local cultural and commercial center.
  • B. Itzehoe
    Itzehoe is a historic town in northern Germany known for its medieval origins and role as a regional center in the state of Schleswig-Holstein.
  • C. Aurich
    Aurich is a historic town in northwestern Germany that serves as one of the principal urban centers of the East Frisia region in Lower Saxony.
  • D. Pinneberg
    Pinneberg is a town in northern Germany that serves as the administrative center of the district of the same name near Hamburg.
  • E. St. Peter-Ording
    St. Peter-Ording is a popular seaside resort town on Germany’s North Sea coast, known for its expansive sandy beaches, stilt houses, and spa tourism.
  • 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_69c6d90e92488190b738676342ac6393 completed March 27, 2026, 7:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c748cc2f908190b593cd82133a7b16 completed March 28, 2026, 3:19 a.m.
Created at: March 27, 2026, 2:23 p.m.