Triple

T2974548
Position Surface form Disambiguated ID Type / Status
Subject Panzer III E80361 entity
Predicate manufacturer P490 FINISHED
Object Alkett E266905 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: Alkett | Statement: [Panzer III, manufacturer, Alkett]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alkett
Context triple: [Panzer III, manufacturer, Alkett]
  • A. Alkett chosen
    Alkett was a German World War II–era armaments manufacturer best known for producing assault guns and other armored fighting vehicles for the Wehrmacht.
  • B. Alkemade
    Alkemade was a former municipality in the Dutch province of South Holland that later became part of the municipality of Kaag en Braassem.
  • C. Alberoni
    Alberoni is an Italian surname most notably associated with Giulio Alberoni, an influential 18th-century cardinal and statesman.
  • D. Almatti
    Almatti is a town in the Bagalkot district of Karnataka, India, known for its proximity to the major Almatti Dam on the Krishna River.
  • E. Avsola
    Avsola is a biosimilar monoclonal antibody to infliximab used to treat various autoimmune inflammatory conditions.
  • 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_69ad8b14ffe881908ffed62f9595c867 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad99894bb0819099fa5cc5166c0eeb completed March 8, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b108e6a5448190ae32e6d2db8e7248 completed March 11, 2026, 6:17 a.m.
Created at: March 8, 2026, 2:58 p.m.