Triple

T11790644
Position Surface form Disambiguated ID Type / Status
Subject Luxembourg railway network E280377 entity
Predicate connectsCity P4245 FINISHED
Object Wiltz
Wiltz is a town in northwestern Luxembourg known for its historical castle, role in the Battle of the Bulge, and position as a regional center in the Ardennes.
E946791 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: Wiltz | Statement: [Luxembourg railway network, connectsCity, Wiltz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wiltz
Context triple: [Luxembourg railway network, connectsCity, Wiltz]
  • A. Wulpen
    Wulpen is a village and municipal section of the coastal town of Koksijde in West Flanders, Belgium.
  • B. Orpo
    Orpo was the uniformed regular police force of Nazi Germany, responsible for maintaining public order and involved in numerous wartime atrocities and repressive activities.
  • C. Geltow
    Geltow is a village in the German state of Brandenburg, known as a district of the municipality Schwielowsee near Potsdam.
  • D. Gunter
    Gunter is a flamboyant, energetic pig who serves as one of the standout comedic performers in the animated musical film "Sing 2."
  • E. Reubell
    Reubell is a French surname most notably associated with Jean-François Reubell, a prominent political figure during the French Revolution and a member of the Directory.
  • 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: Wiltz
Triple: [Luxembourg railway network, connectsCity, Wiltz]
Generated description
Wiltz is a town in northwestern Luxembourg known for its historical castle, role in the Battle of the Bulge, and position as a regional center in the Ardennes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Wiltz
Target entity description: Wiltz is a town in northwestern Luxembourg known for its historical castle, role in the Battle of the Bulge, and position as a regional center in the Ardennes.
  • A. Wulpen
    Wulpen is a village and municipal section of the coastal town of Koksijde in West Flanders, Belgium.
  • B. Orpo
    Orpo was the uniformed regular police force of Nazi Germany, responsible for maintaining public order and involved in numerous wartime atrocities and repressive activities.
  • C. Geltow
    Geltow is a village in the German state of Brandenburg, known as a district of the municipality Schwielowsee near Potsdam.
  • D. Gunter
    Gunter is a flamboyant, energetic pig who serves as one of the standout comedic performers in the animated musical film "Sing 2."
  • E. Reubell
    Reubell is a French surname most notably associated with Jean-François Reubell, a prominent political figure during the French Revolution and a member of the Directory.
  • 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_69d6ab258b808190b1735835c841e3a4 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a588d2c881909783c2d678c2a474 completed April 10, 2026, 7:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69f09107fd2481908d765d2188035012 completed April 28, 2026, 10:50 a.m.
NEDg Description generation batch_69f0bd40108c8190863a60cf01cc7201 completed April 28, 2026, 1:59 p.m.
NED2 Entity disambiguation (via description) batch_69f0ef7e9f388190b33f6c16abadfde9 completed April 28, 2026, 5:33 p.m.
Created at: April 8, 2026, 9:42 p.m.