Triple

T7239012
Position Surface form Disambiguated ID Type / Status
Subject Lauenburg E155306 entity
Predicate shortName P43 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: [Lauenburg, shortName, Lauenburg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lauenburg
Context triple: [Lauenburg, shortName, 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. Eutin
    Eutin is a historic town in northern Germany’s Schleswig-Holstein region, known for its picturesque lakeside setting, castle, and cultural festivals.
  • E. Lauenburg in Pommern
    Lauenburg in Pommern is a historic town in the former Prussian province of Pomerania, now known as Lębork in northern Poland.
  • 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_69c688143bfc81908d4176617735e601 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ea37fa9081908e9c3abe49d151e5 completed March 27, 2026, 8:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7cc3d75b48190916bf327396f2666 completed March 28, 2026, 12:40 p.m.
Created at: March 27, 2026, 2:55 p.m.