Triple

T7488747
Position Surface form Disambiguated ID Type / Status
Subject Limfjord E176948 entity
Predicate hasIsland P970 FINISHED
Object Egholm
Egholm is a small Danish island located in the Limfjord near the city of Aalborg, known for its rural landscape and ferry connection to the mainland.
 E669132 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: Egholm | Statement: [Limfjord, hasIsland, Egholm]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Egholm
Context triple: [Limfjord, hasIsland, Egholm]
  • A. Viggbyholm
    Viggbyholm is a residential urban area in the northern Stockholm region of Sweden, known for its proximity to water, green spaces, and commuter connections into central Stockholm.
  • B. Birkelunden
    Birkelunden is a popular public park in Oslo’s Grünerløkka district, known for its green spaces, cultural events, and historic surroundings.
  • C. Norderhov
    Norderhov is a village in the municipality of Ringerike in Buskerud, Norway, known for its historic church and rural surroundings.
  • D. Maarkedal
    Maarkedal is a rural municipality in the Flemish Ardennes of East Flanders, Belgium, known for its hilly landscape and cycling routes.
  • E. Abildsø
    Abildsø is a residential neighborhood in the borough of Østensjø in Oslo, Norway, known for its green areas and proximity to the lake Østensjøvannet.
  • 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: Egholm
Triple: [Limfjord, hasIsland, Egholm]
Generated description
Egholm is a small Danish island located in the Limfjord near the city of Aalborg, known for its rural landscape and ferry connection to the mainland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Egholm
Target entity description: Egholm is a small Danish island located in the Limfjord near the city of Aalborg, known for its rural landscape and ferry connection to the mainland.
  • A. Viggbyholm
    Viggbyholm is a residential urban area in the northern Stockholm region of Sweden, known for its proximity to water, green spaces, and commuter connections into central Stockholm.
  • B. Birkelunden
    Birkelunden is a popular public park in Oslo’s Grünerløkka district, known for its green spaces, cultural events, and historic surroundings.
  • C. Norderhov
    Norderhov is a village in the municipality of Ringerike in Buskerud, Norway, known for its historic church and rural surroundings.
  • D. Maarkedal
    Maarkedal is a rural municipality in the Flemish Ardennes of East Flanders, Belgium, known for its hilly landscape and cycling routes.
  • E. Abildsø
    Abildsø is a residential neighborhood in the borough of Østensjø in Oslo, Norway, known for its green areas and proximity to the lake Østensjøvannet.
  • 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_69c69f24ac508190bb98fe927c0bd065 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f55abcd481909e42ca857fe46cd1 completed March 27, 2026, 9:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c83c71f5748190bdda4cf9b8dfc6ea completed March 28, 2026, 8:39 p.m.
NEDg Description generation batch_69c83e7b2ab08190a5ecb9b87af067a5 completed March 28, 2026, 8:47 p.m.
NED2 Entity disambiguation (via description) batch_69c842bad1e8819093bf61d9480dbd22 completed March 28, 2026, 9:06 p.m.
Created at: March 27, 2026, 3:43 p.m.