Triple

T7764789
Position Surface form Disambiguated ID Type / Status
Subject Borgholm Municipality E176116 entity
Predicate contains P35 FINISHED
Object Runsten
Runsten is a small locality on the island of Öland in southeastern Sweden, known for its rural landscape and historical stone monuments.
E687089 NE FINISHED

How this triple was built (4 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: Runsten | Statement: [Borgholm Municipality, contains, Runsten]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Runsten
Context triple: [Borgholm Municipality, contains, Runsten]
  • A. Ranst
    Ranst is a municipality in the Belgian province of Antwerp, known for its rural character and proximity to the city of Antwerp.
  • B. Rubberneck
    Rubberneck is a psychological thriller film about obsession and workplace romance that was directed by filmmaker and actor Alex Karpovsky.
  • C. Sapiston
    Sapiston is a small rural village located in the English county of Suffolk.
  • D. Sauer
    Sauer is a German surname borne by various notable individuals in fields such as science, politics, and the arts.
  • E. Parlick
    Parlick is a prominent hill in Lancashire, England, popular with walkers and paragliders and known for its sweeping views over the Forest of Bowland.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Runsten
Triple: [Borgholm Municipality, contains, Runsten]
Generated description
Runsten is a small locality on the island of Öland in southeastern Sweden, known for its rural landscape and historical stone monuments.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Runsten
Target entity description: Runsten is a small locality on the island of Öland in southeastern Sweden, known for its rural landscape and historical stone monuments.
  • A. Ranst
    Ranst is a municipality in the Belgian province of Antwerp, known for its rural character and proximity to the city of Antwerp.
  • B. Rubberneck
    Rubberneck is a psychological thriller film about obsession and workplace romance that was directed by filmmaker and actor Alex Karpovsky.
  • C. Sapiston
    Sapiston is a small rural village located in the English county of Suffolk.
  • D. Sauer
    Sauer is a German surname borne by various notable individuals in fields such as science, politics, and the arts.
  • E. Parlick
    Parlick is a prominent hill in Lancashire, England, popular with walkers and paragliders and known for its sweeping views over the Forest of Bowland.
  • F. None of above. chosen

Provenance (5 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_69c69962923c8190ac74d28b4f9fe0a0 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c704076ba08190bcde971f7e4448c6 completed March 27, 2026, 10:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8c7de604c81908f503e1553795d38 completed March 29, 2026, 6:34 a.m.
NEDg Description generation batch_69c8c8b75b848190a67de2040d563f86 completed March 29, 2026, 6:37 a.m.
NED2 Entity disambiguation (via description) batch_69c8c941814081909d299df5cd714c71 completed March 29, 2026, 6:40 a.m.
Created at: March 27, 2026, 4:09 p.m.