Triple

T10095744
Position Surface form Disambiguated ID Type / Status
Subject Frederikssund E215860 entity
Predicate hasRiver P165 FINISHED
Object Store Vejleå
Store Vejleå is a river in Denmark associated with the Frederikssund area.
E841313 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: Store Vejleå | Statement: [Frederikssund, hasRiver, Store Vejleå]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Store Vejleå
Context triple: [Frederikssund, hasRiver, Store Vejleå]
  • A. Vejle
    Vejle is a Danish city known for its scenic fjord setting, rolling hills, and role as a regional commercial and transportation hub in southeastern Jutland.
  • B. Vejle Municipality
    Vejle Municipality is a local government area in southern Denmark known for its administrative center in the city of Vejle and its varied landscape of fjords, forests, and hills.
  • C. Næstved
    Næstved is a historic market town and commercial center in southern Denmark, located on the island of Zealand.
  • D. Solvang
    Solvang is a Danish-themed tourist town in California known for its Scandinavian architecture, bakeries, and wineries.
  • E. Lemvig
    Lemvig is a small coastal town in western Denmark known for its harbor, hilly landscape, and location along the Limfjord.
  • 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: Store Vejleå
Triple: [Frederikssund, hasRiver, Store Vejleå]
Generated description
Store Vejleå is a river in Denmark associated with the Frederikssund area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Store Vejleå
Target entity description: Store Vejleå is a river in Denmark associated with the Frederikssund area.
  • A. Vejle
    Vejle is a Danish city known for its scenic fjord setting, rolling hills, and role as a regional commercial and transportation hub in southeastern Jutland.
  • B. Vejle Municipality
    Vejle Municipality is a local government area in southern Denmark known for its administrative center in the city of Vejle and its varied landscape of fjords, forests, and hills.
  • C. Næstved
    Næstved is a historic market town and commercial center in southern Denmark, located on the island of Zealand.
  • D. Solvang
    Solvang is a Danish-themed tourist town in California known for its Scandinavian architecture, bakeries, and wineries.
  • E. Lemvig
    Lemvig is a small coastal town in western Denmark known for its harbor, hilly landscape, and location along the Limfjord.
  • 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_69ca83a4947c8190823a7495dc5d96ed completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdd0798c248190af675e30e280daa8 completed April 2, 2026, 2:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2b6b8d604819094db099981219e72 completed April 5, 2026, 7:23 p.m.
NEDg Description generation batch_69d2b8a728bc8190b9baf93a40c00642 completed April 5, 2026, 7:31 p.m.
NED2 Entity disambiguation (via description) batch_69d2b90a1de88190b7c8cf6356ffc376 completed April 5, 2026, 7:33 p.m.
Created at: March 30, 2026, 9:02 p.m.