Triple

T4843428
Position Surface form Disambiguated ID Type / Status
Subject Moss, Norway E108229 entity
Predicate twinTown P1072 FINISHED
Object Aarhus, Denmark E101867 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: Aarhus, Denmark | Statement: [Moss, Norway, twinTown, Aarhus, Denmark]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aarhus, Denmark
Context triple: [Moss, Norway, twinTown, Aarhus, Denmark]
  • A. Aarhus chosen
    Aarhus is Denmark’s second-largest city, a major cultural and economic center on the Jutland peninsula known for its universities, vibrant arts scene, and historic harbor.
  • B. Aabenraa, Denmark
    Aabenraa, Denmark is a coastal town in Southern Jutland near the German border, known for its historic harbor, maritime heritage, and role as a regional commercial center.
  • C. Aalborg
    Aalborg is a major city in northern Denmark known for its historic architecture, vibrant cultural life, and role as a regional economic and educational center.
  • D. Herning
    Herning is a Danish city in the Central Jutland region known for its trade fairs, conference facilities, and vibrant cultural and sports events.
  • E. Odense
    Odense is a historic Danish city on the island of Funen, best known as the birthplace of fairy-tale author Hans Christian Andersen and a cultural hub with museums, festivals, and a vibrant literary heritage.
  • 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_69bd4409b264819085ab855f3eb5381a completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6d0078388190a74a9ee38e1ade4b completed March 20, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69bed90355a88190bc1aafed3ad74625 completed March 21, 2026, 5:44 p.m.
Created at: March 20, 2026, 1:25 p.m.