Triple

T5789904
Position Surface form Disambiguated ID Type / Status
Subject Solliden Palace E128365 entity
Predicate near P350 FINISHED
Object Borgholm E124616 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: Borgholm | Statement: [Solliden Palace, near, Borgholm]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Borgholm
Context triple: [Solliden Palace, near, Borgholm]
  • A. Borgholm chosen
    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. Vaxholm Fortress
    Vaxholm Fortress is a historic coastal stronghold in the Stockholm archipelago of Sweden, built to defend the approach to the capital and now serving as a museum and cultural attraction.
  • C. Vaxholm
    Vaxholm is a small coastal town and municipality in the Stockholm archipelago of eastern Sweden, known for its historic fortress and picturesque waterfront.
  • D. Kalmar Castle
    Kalmar Castle is a well-preserved medieval fortress in southeastern Sweden, renowned for its Renaissance architecture and significant role in Scandinavian history.
  • E. Strömsborg
    Strömsborg is a small islet in central Stockholm, Sweden, known for its historic buildings and picturesque waterfront setting near the Old Town.
  • 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_69c0084450048190bc647b649a05136b completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c02a5585788190821b8da40259e0e7 completed March 22, 2026, 5:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0e352c74481909e74fa0a2607b44d completed March 23, 2026, 6:53 a.m.
Created at: March 22, 2026, 3:51 p.m.