Triple

T16424482
Position Surface form Disambiguated ID Type / Status
Subject Märkischer Kreis E398905 entity
Predicate hasMunicipality P847 FINISHED
Object Altena E403773 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: Altena | Statement: [Märkischer Kreis, hasMunicipality, Altena]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Altena
Context triple: [Märkischer Kreis, hasMunicipality, Altena]
  • A. Altena chosen
    Altena is a town in western Germany’s North Rhine-Westphalia region, known for its historic hilltop castle and role in the industrial and cultural history of the Sauerland area.
  • B. Altena
    Altena is a small village in the municipality of Noordenveld in the province of Drenthe in the northeastern Netherlands.
  • C. Augustdorf
    Augustdorf is a municipality in North Rhine-Westphalia, Germany, known for its proximity to the Teutoburg Forest and its significant military presence, including Bundeswehr facilities.
  • D. Fürstenwalde
    Fürstenwalde is a town in eastern Germany’s Brandenburg region, known for its location on the River Spree and its historic churches and medieval architecture.
  • E. Jüterbog
    Jüterbog is a historic town in the German state of Brandenburg, known for its medieval architecture and long-standing cultural heritage.
  • 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_69d87f2b9024819085c20e52de95d583 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e328f9da9081908dadbdac4b2d38ec completed April 18, 2026, 6:47 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00bafe159c8190b66d2cd21b8ddb88 completed May 10, 2026, 5:06 p.m.
Created at: April 10, 2026, 5:09 a.m.