Triple

T2164451
Position Surface form Disambiguated ID Type / Status
Subject Marburg Castle E46876 entity
Predicate locatedIn P40 FINISHED
Object Marburg, Hesse, Germany E46876 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: Marburg, Hesse, Germany | Statement: [Marburg Castle, locatedIn, Marburg, Hesse, Germany]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marburg, Hesse, Germany
Context triple: [Marburg Castle, locatedIn, Marburg, Hesse, Germany]
  • A. Marburg, Hesse, Germany chosen
    Marburg is a historic university town in the German state of Hesse, known for its medieval architecture and its long-standing role as a center of scientific and academic research.
  • B. Schröttinghausen, Germany
    Schröttinghausen is a small locality in Germany best known as the birthplace of influential astronomer Walter Baade.
  • C. Göttingen, Lower Saxony, Germany
    Göttingen, in Lower Saxony, Germany, is a historic university city renowned for its prestigious Georg-August University and long-standing academic and scientific traditions.
  • D. Hamm, Germany
    Hamm is a city in the German state of North Rhine-Westphalia, known as an industrial and transportation hub in the eastern Ruhr area.
  • E. Weinheim, Germany
    Weinheim, Germany is a town in the state of Baden-Württemberg known for its historic old town, twin castles, and role as a regional economic and publishing center.
  • 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_69a88a184cbc8190877791f6552c2484 completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abbe8e1cfc81908adc0357ddfec701 completed March 7, 2026, 5:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae6538c750819093d2e3f8e5f66a63 completed March 9, 2026, 6:14 a.m.
Created at: March 4, 2026, 7:45 p.m.