Triple

T2829928
Position Surface form Disambiguated ID Type / Status
Subject Longwy E62210 entity
Predicate twinnedWith P1072 FINISHED
Object Differdange
Differdange is a town in southwestern Luxembourg known as an industrial center with a strong steelmaking heritage.
E334753 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: Differdange | Statement: [Longwy, twinnedWith, Differdange]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Differdange
Context triple: [Longwy, twinnedWith, Differdange]
  • A. Dudelange
    Dudelange is a town in southern Luxembourg known as one of the country’s larger industrial and residential centers near the French border.
  • B. Porrentruy
    Porrentruy is a historic town in northwestern Switzerland known for its medieval castle and role as a regional center in the canton of Jura.
  • C. Bütgenbach
    Bütgenbach is a municipality in eastern Belgium’s German-speaking Community, known for its scenic lake, outdoor recreation, and proximity to the strategic Elsenborn Ridge.
  • D. Rixensart
    Rixensart is a municipality in Walloon Brabant, Belgium, known for its residential character and proximity to Brussels.
  • E. Verviers
    Verviers is a city in eastern Belgium known historically for its textile industry and as a regional center in the province of Liège.
  • 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: Differdange
Triple: [Longwy, twinnedWith, Differdange]
Generated description
Differdange is a town in southwestern Luxembourg known as an industrial center with a strong steelmaking heritage.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Differdange
Target entity description: Differdange is a town in southwestern Luxembourg known as an industrial center with a strong steelmaking heritage.
  • A. Dudelange
    Dudelange is a town in southern Luxembourg known as one of the country’s larger industrial and residential centers near the French border.
  • B. Porrentruy
    Porrentruy is a historic town in northwestern Switzerland known for its medieval castle and role as a regional center in the canton of Jura.
  • C. Bütgenbach
    Bütgenbach is a municipality in eastern Belgium’s German-speaking Community, known for its scenic lake, outdoor recreation, and proximity to the strategic Elsenborn Ridge.
  • D. Rixensart
    Rixensart is a municipality in Walloon Brabant, Belgium, known for its residential character and proximity to Brussels.
  • E. Verviers
    Verviers is a city in eastern Belgium known historically for its textile industry and as a regional center in the province of Liège.
  • 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_69ab4c3c39188190955b9c49d98463d8 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdebbde4881908dfa78e28c7018e0 completed March 7, 2026, 8:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69b24af876288190ae21a1f434768e0d completed March 12, 2026, 5:11 a.m.
NEDg Description generation batch_69b24cc38b34819097ede8e780c47d33 completed March 12, 2026, 5:18 a.m.
NED2 Entity disambiguation (via description) batch_69b24d6a57bc8190af6f46bb9756227f completed March 12, 2026, 5:21 a.m.
Created at: March 6, 2026, 10:01 p.m.