Triple

T20302836
Position Surface form Disambiguated ID Type / Status
Subject Belgian railway line 53 E505526 entity
Predicate passesThrough P225 FINISHED
Object Malderen
Malderen is a village in the municipality of Londerzeel in the Flemish Region of Belgium.
E1423274 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: Malderen | Statement: [Belgian railway line 53, passesThrough, Malderen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Malderen
Context triple: [Belgian railway line 53, passesThrough, Malderen]
  • A. Lommedalen
    Lommedalen is a residential valley area and village in the municipality of Bærum in Viken county, Norway, known for its scenic surroundings and outdoor recreation opportunities.
  • B. Krokskogen
    Krokskogen is a large forested area and popular outdoor recreation region in southeastern Norway, known for its hiking and skiing trails between Oslo and the Ringerike district.
  • C. Dyrholm
    Dyrholm is a Danish surname most notably borne by acclaimed actress and singer Trine Dyrholm.
  • D. Skog
    Skog is a small locality in Gävleborg County, Sweden, situated within Söderhamn Municipality.
  • E. Hurumlandet
    Hurumlandet is a peninsula in Viken county, Norway, known for its coastal landscapes along the Oslofjord and Drammensfjord.
  • 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: Malderen
Triple: [Belgian railway line 53, passesThrough, Malderen]
Generated description
Malderen is a village in the municipality of Londerzeel in the Flemish Region of Belgium.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Malderen
Target entity description: Malderen is a village in the municipality of Londerzeel in the Flemish Region of Belgium.
  • A. Lommedalen
    Lommedalen is a residential valley area and village in the municipality of Bærum in Viken county, Norway, known for its scenic surroundings and outdoor recreation opportunities.
  • B. Krokskogen
    Krokskogen is a large forested area and popular outdoor recreation region in southeastern Norway, known for its hiking and skiing trails between Oslo and the Ringerike district.
  • C. Dyrholm
    Dyrholm is a Danish surname most notably borne by acclaimed actress and singer Trine Dyrholm.
  • D. Skog
    Skog is a small locality in Gävleborg County, Sweden, situated within Söderhamn Municipality.
  • E. Hurumlandet
    Hurumlandet is a peninsula in Viken county, Norway, known for its coastal landscapes along the Oslofjord and Drammensfjord.
  • 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_69e0b4b8ab648190906e18538c250148 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6773e0864819095d272659cd2074d completed April 20, 2026, 6:58 p.m.
NED1 Entity disambiguation (via context triple) batch_6a086119b9808190ba5ebb80b43953d3 completed May 16, 2026, 12:20 p.m.
NEDg Description generation batch_6a0861b954888190a6305aa805aa97ff completed May 16, 2026, 12:23 p.m.
NED2 Entity disambiguation (via description) batch_6a0862237d148190b4e12c878ca9c7a2 completed May 16, 2026, 12:25 p.m.
Created at: April 16, 2026, 11:17 a.m.