Triple

T1913711
Position Surface form Disambiguated ID Type / Status
Subject Zealand E38167 entity
Predicate contains P35 FINISHED
Object Næstved
Næstved is a historic market town and commercial center in southern Denmark, located on the island of Zealand.
E272601 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: Næstved | Statement: [Zealand, contains, Næstved]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Næstved
Context triple: [Zealand, contains, Næstved]
  • A. Rødovre
    Rødovre is a suburban municipality in the Capital Region of Denmark, located just west of central Copenhagen.
  • B. Hellebæk
    Hellebæk is a coastal town in northeastern Zealand, Denmark, known for its scenic setting near Helsingør and its historic industrial and residential architecture.
  • C. 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.
  • D. Slagelse
    Slagelse is a town on the island of Zealand in Denmark known for its military presence, historical significance, and role as a regional commercial center.
  • E. Hillerød
    Hillerød is a Danish town on the island of Zealand, known for the historic Frederiksborg Castle and its role as a regional administrative and cultural center.
  • 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: Næstved
Triple: [Zealand, contains, Næstved]
Generated description
Næstved is a historic market town and commercial center in southern Denmark, located on the island of Zealand.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Næstved
Target entity description: Næstved is a historic market town and commercial center in southern Denmark, located on the island of Zealand.
  • A. Rødovre
    Rødovre is a suburban municipality in the Capital Region of Denmark, located just west of central Copenhagen.
  • B. Hellebæk
    Hellebæk is a coastal town in northeastern Zealand, Denmark, known for its scenic setting near Helsingør and its historic industrial and residential architecture.
  • C. 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.
  • D. Slagelse
    Slagelse is a town on the island of Zealand in Denmark known for its military presence, historical significance, and role as a regional commercial center.
  • E. Hillerød
    Hillerød is a Danish town on the island of Zealand, known for the historic Frederiksborg Castle and its role as a regional administrative and cultural center.
  • 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_69a8862a26088190aae5243695aeefc0 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb1e26b948190aa194c30755ac5df completed March 7, 2026, 5:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69af1f6cb97c8190bf6e8dbdcae3aabd completed March 9, 2026, 7:28 p.m.
NEDg Description generation batch_69af201e1a748190905bb221fc5dd01e completed March 9, 2026, 7:31 p.m.
NED2 Entity disambiguation (via description) batch_69af20ad25588190b8e26e82baba731d completed March 9, 2026, 7:34 p.m.
Created at: March 4, 2026, 7:35 p.m.