Triple

T1624042
Position Surface form Disambiguated ID Type / Status
Subject Marcussen & Søn E35095 entity
Predicate hasOriginalLanguageName P29322 FINISHED
Object Marcussen & Søn E35095 NE FINISHED

How this triple was built (3 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: Marcussen & Søn | Statement: [Marcussen & Søn, hasOriginalLanguageName, Marcussen & Søn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marcussen & Søn
Context triple: [Marcussen & Søn, hasOriginalLanguageName, Marcussen & Søn]
  • A. Marcussen & Søn chosen
    Marcussen & Søn is a renowned Danish firm celebrated for crafting high-quality pipe organs for churches and concert halls worldwide.
  • B. E.S. Mittler & Sohn
    E.S. Mittler & Sohn is a historic German publishing house known for its military and technical literature.
  • C. Erla Maschinenwerk
    Erla Maschinenwerk was a German aircraft manufacturing company best known for producing Messerschmitt fighter planes under license during World War II.
  • D. Petit & Fritsen
    Petit & Fritsen is a historic Dutch bell foundry renowned for casting church bells and carillons used in notable towers and monuments worldwide.
  • E. Borsigwerke
    Borsigwerke is a Berlin U-Bahn station on line U6 serving the Tegel district in the city’s northwest.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasOriginalLanguageName
Context triple: [Marcussen & Søn, hasOriginalLanguageName, Marcussen & Søn]
  • A. originalNameLanguage
    Indicates that the specified language is the language in which an entity’s original or primary name was expressed.
  • B. nameInOriginalLanguage chosen
    Indicates that an entity’s name is given in its original or native language form.
  • C. hasLanguageOfOrigin
    Indicates that one entity has its origin or source in the language specified by another entity.
  • D. hasNameInLocalLanguage
    Indicates that an entity is associated with a name expressed in the local or native language of a given context or region.
  • E. originalTitleLanguage
    Indicates the language in which a work’s original title was written or expressed.
  • F. None of above.

Provenance (4 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_69a886023194819080a3fccd6e325d0e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aaf4a0ef748190ae52b9656474c0ef completed March 6, 2026, 3:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad6092fdd0819099bde0004de869c4 completed March 8, 2026, 11:42 a.m.
PD Predicate disambiguation batch_69a907c731808190a1d998155041b3c1 completed March 5, 2026, 4:34 a.m.
Created at: March 4, 2026, 7:28 p.m.