Triple

T2188259
Position Surface form Disambiguated ID Type / Status
Subject Siemens E49800 entity
Predicate legalForm P64 FINISHED
Object Aktiengesellschaft E119100 NE FINISHED

How this triple was built (2 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: Aktiengesellschaft | Statement: [Siemens, legalForm, Aktiengesellschaft]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aktiengesellschaft
Context triple: [Siemens, legalForm, Aktiengesellschaft]
  • A. Aktiengesellschaft chosen
    Aktiengesellschaft is a German term for a joint-stock company, a common corporate legal form in German-speaking countries where ownership is divided into shares.
  • B. Gesellschaft mit beschränkter Haftung
    Gesellschaft mit beschränkter Haftung is a common German limited liability company structure in which owners’ liability is restricted to their capital contributions.
  • C. Société Anonyme
    Société Anonyme is a common French corporate structure for large, share-based companies with limited liability and publicly tradable shares.
  • D. Verkehrs-Aktiengesellschaft Nürnberg
    Verkehrs-Aktiengesellschaft Nürnberg is the municipal public transport company responsible for operating Nuremberg’s urban transit network, including its underground rail system.
  • 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.

Provenance (3 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_69a88aaba3c48190b351cab9b26989ff completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abbf373c608190b7716c137b3e9fe9 completed March 7, 2026, 6:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae5dada268819082ddc4acd58e19f3 completed March 9, 2026, 5:42 a.m.
Created at: March 4, 2026, 7:45 p.m.