Triple

T7758659
Position Surface form Disambiguated ID Type / Status
Subject Slotsholmen E175961 entity
Predicate crossedBy P416 FINISHED
Object Knippelsbro
Knippelsbro is a historic bascule bridge in central Copenhagen that connects the island of Slotsholmen with the Christianshavn district across the harbor.
 E686972 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: Knippelsbro | Statement: [Slotsholmen, crossedBy, Knippelsbro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Knippelsbro
Context triple: [Slotsholmen, crossedBy, Knippelsbro]
  • A. Randaberg
    Randaberg is a coastal municipality in Rogaland county, Norway, situated just north of the city of Stavanger and known for its agriculture and scenic shoreline.
  • B. Bremsnes
    Bremsnes is a village on the island of Averøya in Møre og Romsdal county, Norway, known for its coastal setting and local church.
  • C. Kvikne
    Kvikne is a rural village area in central Norway, known historically for mining and as the birthplace of Nobel Prize–winning writer Bjørnstjerne Bjørnson.
  • D. Svaneke
    Svaneke is a picturesque coastal town on the Danish island of Bornholm, known for its well-preserved half-timbered houses, harbor, and traditional smokehouses.
  • E. Bogesund
    Bogesund is a locality in Sweden known for its surrounding archipelago landscape, forests, and recreational natural areas.
  • 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: Knippelsbro
Triple: [Slotsholmen, crossedBy, Knippelsbro]
Generated description
Knippelsbro is a historic bascule bridge in central Copenhagen that connects the island of Slotsholmen with the Christianshavn district across the harbor.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Knippelsbro
Target entity description: Knippelsbro is a historic bascule bridge in central Copenhagen that connects the island of Slotsholmen with the Christianshavn district across the harbor.
  • A. Randaberg
    Randaberg is a coastal municipality in Rogaland county, Norway, situated just north of the city of Stavanger and known for its agriculture and scenic shoreline.
  • B. Bremsnes
    Bremsnes is a village on the island of Averøya in Møre og Romsdal county, Norway, known for its coastal setting and local church.
  • C. Kvikne
    Kvikne is a rural village area in central Norway, known historically for mining and as the birthplace of Nobel Prize–winning writer Bjørnstjerne Bjørnson.
  • D. Svaneke
    Svaneke is a picturesque coastal town on the Danish island of Bornholm, known for its well-preserved half-timbered houses, harbor, and traditional smokehouses.
  • E. Bogesund
    Bogesund is a locality in Sweden known for its surrounding archipelago landscape, forests, and recreational natural areas.
  • 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_69c6996180088190832e38e8d83ff54a completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c703de43d08190ac28bc17cd3e5ffa completed March 27, 2026, 10:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8c7cf538c8190aa86c27fff42efb0 completed March 29, 2026, 6:33 a.m.
NEDg Description generation batch_69c8c8a18860819081a88f80544db83d completed March 29, 2026, 6:37 a.m.
NED2 Entity disambiguation (via description) batch_69c8c900a28c819097449e8ceb373718 completed March 29, 2026, 6:38 a.m.
Created at: March 27, 2026, 4:09 p.m.