Triple

T3333440
Position Surface form Disambiguated ID Type / Status
Subject Luxembourg City E70084 entity
Predicate hasDistrict P459 FINISHED
Object Clausen
Clausen is a historic quarter of Luxembourg City known for its nightlife, old breweries, and picturesque setting along the Alzette River.
 E349449 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: Clausen | Statement: [Luxembourg City, hasDistrict, Clausen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Clausen
Context triple: [Luxembourg City, hasDistrict, Clausen]
  • A. Colwell
    Colwell is a surname most notably associated with Rita R. Colwell, an influential American microbiologist and former director of the U.S. National Science Foundation.
  • B. Bergensten
    Bergensten is the surname of Jens Bergensten, the Swedish video game programmer and lead developer known for his work on Minecraft.
  • C. Crouse
    Crouse is a surname most notably associated with American actress Lindsay Crouse and her family.
  • D. Kuppenheimer
    Kuppenheimer was a prominent American men's clothing company best known for its high-quality suits and influential early 20th-century advertising campaigns.
  • E. Sautter
    Sautter is a surname, likely a spelling variant of "Sutter," borne by various individuals and families of European origin.
  • 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: Clausen
Triple: [Luxembourg City, hasDistrict, Clausen]
Generated description
Clausen is a historic quarter of Luxembourg City known for its nightlife, old breweries, and picturesque setting along the Alzette River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Clausen
Target entity description: Clausen is a historic quarter of Luxembourg City known for its nightlife, old breweries, and picturesque setting along the Alzette River.
  • A. Colwell
    Colwell is a surname most notably associated with Rita R. Colwell, an influential American microbiologist and former director of the U.S. National Science Foundation.
  • B. Bergensten
    Bergensten is the surname of Jens Bergensten, the Swedish video game programmer and lead developer known for his work on Minecraft.
  • C. Crouse
    Crouse is a surname most notably associated with American actress Lindsay Crouse and her family.
  • D. Kuppenheimer
    Kuppenheimer was a prominent American men's clothing company best known for its high-quality suits and influential early 20th-century advertising campaigns.
  • E. Sautter
    Sautter is a surname, likely a spelling variant of "Sutter," borne by various individuals and families of European origin.
  • 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_69ad85a24f208190bcf83131bfed3521 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb194960081909333c855f06d8b03 completed March 8, 2026, 5:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69b31a867cac81909ddde955c1752ab8 completed March 12, 2026, 7:56 p.m.
NEDg Description generation batch_69b31c393f20819098d5761372d6a980 completed March 12, 2026, 8:04 p.m.
NED2 Entity disambiguation (via description) batch_69b3206be2748190874560701dc1ed18 completed March 12, 2026, 8:22 p.m.
Created at: March 8, 2026, 3:12 p.m.