Triple

T1677053
Position Surface form Disambiguated ID Type / Status
Subject Heckler & Koch E36253 entity
Predicate legalForm P64 FINISHED
Object GmbH E171384 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: GmbH | Statement: [Heckler & Koch, legalForm, GmbH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GmbH
Context triple: [Heckler & Koch, legalForm, GmbH]
  • A. Gesellschaft mit beschränkter Haftung chosen
    Gesellschaft mit beschränkter Haftung is a common German limited liability company structure in which owners’ liability is restricted to their capital contributions.
  • B. Aktiengesellschaft
    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.
  • 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. Rossmanith GmbH
    Rossmanith GmbH is a German company best known as the original founding firm behind the remote-access software provider TeamViewer.
  • 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_69a886139ed081909af0940aa9313512 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa625e4cd0819083825b41196f902d completed March 6, 2026, 5:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad71b7c2608190bce1dc7469da4c45 completed March 8, 2026, 12:55 p.m.
Created at: March 4, 2026, 7:29 p.m.