Triple

T6273139
Position Surface form Disambiguated ID Type / Status
Subject Port of Tórshavn E140586 entity
Predicate serves P98 FINISHED
Object Tórshavn urban area E356497 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: Tórshavn urban area | Statement: [Port of Tórshavn, serves, Tórshavn urban area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tórshavn urban area
Context triple: [Port of Tórshavn, serves, Tórshavn urban area]
  • A. Tórshavn chosen
    Tórshavn is the capital and largest city of the Faroe Islands, serving as the political, cultural, and economic center of the archipelago.
  • B. Tórshavn Municipality
    Tórshavn Municipality is the primary local government area centered on the Faroe Islands’ capital, encompassing the city of Tórshavn and its surrounding settlements.
  • C. Mariehamn
    Mariehamn is the main town and administrative, cultural, and economic center of the autonomous Åland Islands in the Baltic Sea.
  • D. Faaborg
    Faaborg is a historic coastal town on the island of Funen in southern Denmark, known for its well-preserved old town, harbor, and cultural attractions.
  • E. Køpmannæhafn
    Køpmannæhafn is the historical Danish name for the city now known as Copenhagen, reflecting its origins as a merchant harbor.
  • 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_69c008cc158881908df6ec94a911c736 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c063be5a148190a8752426d2d220f8 completed March 22, 2026, 9:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69c640a7ef8881909b00ce1f479f0fb4 completed March 27, 2026, 8:32 a.m.
Created at: March 22, 2026, 4:25 p.m.