Triple

T6306284
Position Surface form Disambiguated ID Type / Status
Subject Alfred Meyer E141382 entity
Predicate workLocation P7 FINISHED
Object Westphalia E33788 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: Westphalia | Statement: [Alfred Meyer, workLocation, Westphalia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Westphalia
Context triple: [Alfred Meyer, workLocation, Westphalia]
  • A. Westphalia chosen
    Westphalia is a historical region in northwestern Germany known for being the site of the 1648 treaties that ended the Thirty Years' War and reshaped the political order of Europe.
  • B. Rhineland
    The Rhineland is a historically significant region in western Germany along the Rhine River, long contested as a strategic and economic heartland in European conflicts.
  • C. Duchy of Westphalia
    The Duchy of Westphalia was a medieval territorial principality in the Holy Roman Empire, largely under the control of the Archbishop-Elector of Cologne and located in what is now western Germany.
  • D. Pfalz
    Pfalz is a major wine-producing region in southwestern Germany known for its diverse vineyards and high-quality white wines.
  • E. Bavaria
    Bavaria is a historic region and federal state in southeastern Germany, known for its distinct cultural traditions, large size and population, and major cities such as Munich.
  • 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_69c008d00efc8190a36c05b4b4a3bf4b completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c06479acec819090306a155a03b774 completed March 22, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69c5e44c11f48190a8c3c36172cd8da0 completed March 27, 2026, 1:58 a.m.
Created at: March 22, 2026, 4:28 p.m.