Triple

T8563979
Position Surface form Disambiguated ID Type / Status
Subject Prince Louis of Luxembourg E202757 entity
Predicate marriagePlace P128 FINISHED
Object Gilsdorf
Gilsdorf is a small town in northeastern Luxembourg, known as a residential locality within the commune of Bettendorf.
E754234 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: Gilsdorf | Statement: [Prince Louis of Luxembourg, marriagePlace, Gilsdorf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gilsdorf
Context triple: [Prince Louis of Luxembourg, marriagePlace, Gilsdorf]
  • A. Betzdorf
    Betzdorf is a commune in eastern Luxembourg known for its residential areas, railway facilities, and the presence of Betzdorf Castle.
  • B. Sulzheim
    Sulzheim is a small municipality in the Schweinfurt district of Lower Franconia in northern Bavaria, Germany.
  • C. Dierdorf
    Dierdorf is a surname most prominently associated with former American football player and sportscaster Dan Dierdorf.
  • D. Karsdorf
    Karsdorf is a small municipality in the German state of Saxony-Anhalt, known for its location along the Unstrut River and its surrounding wine-growing and agricultural landscape.
  • E. Fritzdorf
    Fritzdorf is a village in the municipality of Wachtberg in North Rhine-Westphalia, Germany.
  • 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: Gilsdorf
Triple: [Prince Louis of Luxembourg, marriagePlace, Gilsdorf]
Generated description
Gilsdorf is a small town in northeastern Luxembourg, known as a residential locality within the commune of Bettendorf.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Gilsdorf
Target entity description: Gilsdorf is a small town in northeastern Luxembourg, known as a residential locality within the commune of Bettendorf.
  • A. Betzdorf
    Betzdorf is a commune in eastern Luxembourg known for its residential areas, railway facilities, and the presence of Betzdorf Castle.
  • B. Sulzheim
    Sulzheim is a small municipality in the Schweinfurt district of Lower Franconia in northern Bavaria, Germany.
  • C. Dierdorf
    Dierdorf is a surname most prominently associated with former American football player and sportscaster Dan Dierdorf.
  • D. Karsdorf
    Karsdorf is a small municipality in the German state of Saxony-Anhalt, known for its location along the Unstrut River and its surrounding wine-growing and agricultural landscape.
  • E. Fritzdorf
    Fritzdorf is a village in the municipality of Wachtberg in North Rhine-Westphalia, Germany.
  • 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_69ca8326e6c881908ff720d6abaebdc5 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe9d11274819099cc33a21a993a1f completed March 31, 2026, 3:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf42459a048190a5c480f4a212607a completed April 3, 2026, 4:29 a.m.
NEDg Description generation batch_69cf43bd0f8c8190be2f7dc86f1e76e1 completed April 3, 2026, 4:36 a.m.
NED2 Entity disambiguation (via description) batch_69cf444c9cb08190a37f34faa4a3458d completed April 3, 2026, 4:38 a.m.
Created at: March 30, 2026, 6:20 p.m.