Triple

T15441670
Position Surface form Disambiguated ID Type / Status
Subject House of La Marck E369917 entity
Predicate hasAncestralSeat P2536 FINISHED
Object Burg Mark E387259 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: Burg Mark | Statement: [House of La Marck, hasAncestralSeat, Burg Mark]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Burg Mark
Context triple: [House of La Marck, hasAncestralSeat, Burg Mark]
  • A. Burg Mark chosen
    Burg Mark is a historic medieval castle in the former County of Mark in present-day Germany, which served as the political and administrative center of the region.
  • B. Burg Linn
    Burg Linn is a well-preserved medieval moated castle and museum complex located in the Krefeld district of Linn in western Germany.
  • C. Wechselburg
    Wechselburg is a small municipality in Saxony, Germany, known for its historic Benedictine monastery and scenic location along the Zwickauer Mulde river.
  • D. Burggen
    Burggen is a small rural municipality in the Bavarian region of Upper Bavaria in southern Germany.
  • E. Burg Belchau
    Burg Belchau is a former estate in West Prussia (now in Poland) best known as the birthplace of German General Erich von Falkenhayn, who served as Chief of the German General Staff during World War I.
  • 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_69d85a19180081909925012fbf4e62a3 completed April 10, 2026, 2:02 a.m.
NER Named-entity recognition batch_69e03ef55f5c8190a32b1b6ad1daf454 completed April 16, 2026, 1:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff21ab80288190a1a4df8b714bba66 completed May 9, 2026, 11:59 a.m.
Created at: April 10, 2026, 3:21 a.m.