Triple

T18852385
Position Surface form Disambiguated ID Type / Status
Subject Roermond E461071 entity
Predicate hasNeighbouringMunicipality P224 FINISHED
Object Leudal
Leudal is a municipality in the Dutch province of Limburg, known for its rural landscapes, nature reserves, and small villages.
E1367084 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: Leudal | Statement: [Roermond, hasNeighbouringMunicipality, Leudal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leudal
Context triple: [Roermond, hasNeighbouringMunicipality, Leudal]
  • A. Haderup
    Haderup is a small town in Denmark, known locally as a rural community that gave its name to the former Aulum-Haderup Municipality.
  • B. Maarkedal
    Maarkedal is a rural municipality in the Flemish Ardennes of East Flanders, Belgium, known for its hilly landscape and cycling routes.
  • C. Lemvig
    Lemvig is a small coastal town in western Denmark known for its harbor, hilly landscape, and location along the Limfjord.
  • D. Blangsted
    Blangsted is a surname most notably associated with Folmar Blangsted, a film editor.
  • E. Knudshoved
    Knudshoved is a coastal area on the Danish island of Funen that serves as a key transport hub and former ferry terminal at the western end of the Great Belt crossing.
  • 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: Leudal
Triple: [Roermond, hasNeighbouringMunicipality, Leudal]
Generated description
Leudal is a municipality in the Dutch province of Limburg, known for its rural landscapes, nature reserves, and small villages.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Leudal
Target entity description: Leudal is a municipality in the Dutch province of Limburg, known for its rural landscapes, nature reserves, and small villages.
  • A. Haderup
    Haderup is a small town in Denmark, known locally as a rural community that gave its name to the former Aulum-Haderup Municipality.
  • B. Maarkedal
    Maarkedal is a rural municipality in the Flemish Ardennes of East Flanders, Belgium, known for its hilly landscape and cycling routes.
  • C. Lemvig
    Lemvig is a small coastal town in western Denmark known for its harbor, hilly landscape, and location along the Limfjord.
  • D. Blangsted
    Blangsted is a surname most notably associated with Folmar Blangsted, a film editor.
  • E. Knudshoved
    Knudshoved is a coastal area on the Danish island of Funen that serves as a key transport hub and former ferry terminal at the western end of the Great Belt crossing.
  • 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_69d8dcfa11e4819090ab1ef5bdcd2b2e completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c05a8a708190b9b2b8f95b2f1d23 completed April 20, 2026, 5:57 a.m.
NED1 Entity disambiguation (via context triple) batch_6a070e57a6ac81909dadc48731dc9940 completed May 15, 2026, 12:15 p.m.
NEDg Description generation batch_6a070ee343008190a1be4338889ae540 completed May 15, 2026, 12:17 p.m.
NED2 Entity disambiguation (via description) batch_6a070f5c89348190925244dd0460bcdc completed May 15, 2026, 12:19 p.m.
Created at: April 10, 2026, 11:56 a.m.