Triple

T7792139
Position Surface form Disambiguated ID Type / Status
Subject West Jutland E180204 entity
Predicate containsTown P847 FINISHED
Object Lemvig
Lemvig is a small coastal town in western Denmark known for its harbor, hilly landscape, and location along the Limfjord.
 E710826 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: Lemvig | Statement: [West Jutland, containsTown, Lemvig]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lemvig
Context triple: [West Jutland, containsTown, Lemvig]
  • A. Hellebæk
    Hellebæk is a coastal town in northeastern Zealand, Denmark, known for its scenic setting near Helsingør and its historic industrial and residential architecture.
  • B. Blangsted
    Blangsted is a surname most notably associated with Folmar Blangsted, a film editor.
  • C. Rudkøbing
    Rudkøbing is a small historic town on the Danish island of Langeland, known for its well-preserved old streets and as the birthplace of physicist Hans Christian Ørsted.
  • D. Næstved
    Næstved is a historic market town and commercial center in southern Denmark, located on the island of Zealand.
  • E. Korsholm
    Korsholm is a coastal municipality in western Finland, known for its largely Swedish-speaking population and proximity to the city of Vaasa in the Ostrobothnia region.
  • 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: Lemvig
Triple: [West Jutland, containsTown, Lemvig]
Generated description
Lemvig is a small coastal town in western Denmark known for its harbor, hilly landscape, and location along the Limfjord.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lemvig
Target entity description: Lemvig is a small coastal town in western Denmark known for its harbor, hilly landscape, and location along the Limfjord.
  • A. Hellebæk
    Hellebæk is a coastal town in northeastern Zealand, Denmark, known for its scenic setting near Helsingør and its historic industrial and residential architecture.
  • B. Blangsted
    Blangsted is a surname most notably associated with Folmar Blangsted, a film editor.
  • C. Rudkøbing
    Rudkøbing is a small historic town on the Danish island of Langeland, known for its well-preserved old streets and as the birthplace of physicist Hans Christian Ørsted.
  • D. Næstved
    Næstved is a historic market town and commercial center in southern Denmark, located on the island of Zealand.
  • E. Korsholm
    Korsholm is a coastal municipality in western Finland, known for its largely Swedish-speaking population and proximity to the city of Vaasa in the Ostrobothnia region.
  • 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_69ca827d22208190b4dc5aa680edcf5d completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cae938714c8190b89917e6ded004da completed March 30, 2026, 9:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69cc6393e7148190b6e15fae890d9dbe completed April 1, 2026, 12:15 a.m.
NEDg Description generation batch_69cc64bd6a088190b77e2709c76579e4 completed April 1, 2026, 12:20 a.m.
NED2 Entity disambiguation (via description) batch_69cc66b0e1548190840e4335ff2b130f completed April 1, 2026, 12:28 a.m.
Created at: March 30, 2026, 4:30 p.m.