Triple

T5180035
Position Surface form Disambiguated ID Type / Status
Subject Notodden E116895 entity
Predicate hasTwinTown P919 FINISHED
Object Ringsted E279045 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: Ringsted | Statement: [Notodden, hasTwinTown, Ringsted]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ringsted
Context triple: [Notodden, hasTwinTown, Ringsted]
  • A. Ringsted chosen
    Ringsted is a historic market town and transport hub located in the central part of the Danish island of Zealand.
  • B. Hellebæk
    Hellebæk is a coastal town in northeastern Zealand, Denmark, known for its scenic setting near Helsingør and its historic industrial and residential architecture.
  • C. Næstved
    Næstved is a historic market town and commercial center in southern Denmark, located on the island of Zealand.
  • D. Haderslev
    Haderslev is a historic town in southern Denmark known for its medieval cathedral, old town center, and role as a regional cultural and administrative hub.
  • E. Holbæk
    Holbæk is a coastal town and municipality in northwestern Zealand, Denmark, known for its harbor on Holbæk Fjord and role as a regional commercial and cultural center.
  • 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_69bd446140f08190becb93c61158f27f completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd799a322c8190b8a590cfe70761f5 completed March 20, 2026, 4:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf10c17a648190b8ca7b85cfbfb9e4 completed March 21, 2026, 9:42 p.m.
Created at: March 20, 2026, 1:45 p.m.