Triple

T9080458
Position Surface form Disambiguated ID Type / Status
Subject Duke of Lauenburg E217605 entity
Predicate historicalRegion P915 FINISHED
Object Lauenburg E155306 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: Lauenburg | Statement: [Duke of Lauenburg, historicalRegion, Lauenburg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lauenburg
Context triple: [Duke of Lauenburg, historicalRegion, Lauenburg]
  • A. Lauenburg chosen
    Lauenburg is a historic town in northern Germany situated on the banks of the Elbe River.
  • B. Güstrow
    Güstrow is a historic town in northern Germany known for its Renaissance castle, brick Gothic cathedral, and association with sculptor Ernst Barlach.
  • C. Glücksburg
    Glücksburg is a European royal house of German origin that has provided monarchs to several countries, including Denmark, Norway, and Greece.
  • D. Glücksburg
    Glücksburg is a small town in northern Germany known as the ancestral seat of the House of Schleswig-Holstein-Sonderburg-Glücksburg, a prominent European royal dynasty.
  • E. Eutin
    Eutin is a historic town in northern Germany’s Schleswig-Holstein region, known for its picturesque lakeside setting, castle, and cultural festivals.
  • 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_69ca83d7a0388190ba1af89ed7ba36f9 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc9607942c8190a21620892ce3cbe5 completed April 1, 2026, 3:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69d017baebb881908cfecd3438a17166 completed April 3, 2026, 7:40 p.m.
Created at: March 30, 2026, 7:13 p.m.