Triple

T3635130
Position Surface form Disambiguated ID Type / Status
Subject Panzer I E77048 entity
Predicate manufacturer P490 FINISHED
Object Wegmann E203354 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: Wegmann | Statement: [Panzer I, manufacturer, Wegmann]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wegmann
Context triple: [Panzer I, manufacturer, Wegmann]
  • A. Wegmann & Co chosen
    Wegmann & Co was a German defense and rail vehicle manufacturer that became part of Krauss-Maffei Wegmann through a merger.
  • B. Cornier
    Cornier is a small French commune located in the Haute-Savoie department in the Auvergne-Rhône-Alpes region of southeastern France.
  • C. Faber Factory
    Faber Factory is a digital publishing and distribution imprint associated with the British publishing house Faber and Faber, focused on helping publishers and authors manage and distribute e-books.
  • D. Borregaard
    Borregaard is a Norwegian biorefinery company that produces advanced and sustainable bio-based chemicals and materials from wood.
  • E. Falben
    Falben is an alternative name for the Cumans, a medieval nomadic Turkic people who inhabited the Eurasian steppe and played a significant role in Eastern European history.
  • 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_69ad85dd0be48190b738990cb20c4731 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc325e2548190ae243ae69126e65c completed March 8, 2026, 6:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69b44f1ec2bc8190ae88a2010f84e998 completed March 13, 2026, 5:53 p.m.
Created at: March 8, 2026, 3:24 p.m.