Triple

T12776049
Position Surface form Disambiguated ID Type / Status
Subject Porvoo E305374 entity
Predicate hasTwinTown P919 FINISHED
Object Sigtuna E25045 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: Sigtuna | Statement: [Porvoo, hasTwinTown, Sigtuna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sigtuna
Context triple: [Porvoo, hasTwinTown, Sigtuna]
  • A. Borgholm
    Borgholm is a small coastal town in southeastern Sweden, known as a popular summer resort and for the nearby Borgholm Castle ruins on the island of Öland.
  • B. Kalmar
    Kalmar is a historic coastal city in southeastern Sweden known for its medieval castle, role in the Kalmar Union, and connection to the island of Öland.
  • C. Sigtuna Municipality chosen
    Sigtuna Municipality is a local government area in east-central Sweden known for encompassing the historic town of Sigtuna, one of the country’s oldest urban settlements.
  • D. Gislaved
    Gislaved is a tire brand known for producing reliable winter and all-season tires, particularly popular in Northern and Central Europe.
  • E. Hudiksvall
    Hudiksvall is a coastal town in east-central Sweden known for its historic wooden buildings and harbor on the Gulf of Bothnia.
  • 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_69d7bdf2b43c819098ae5aa68e61ea58 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96df6b3c88190b0bbe70de8ddcbf3 completed April 10, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69f684fee60c81909245d4d70c9338c0 completed May 2, 2026, 11:13 p.m.
Created at: April 9, 2026, 5:29 p.m.