Triple

T16424496
Position Surface form Disambiguated ID Type / Status
Subject Märkischer Kreis E398905 entity
Predicate borderedBy P224 FINISHED
Object Unna district E395574 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: Unna district | Statement: [Märkischer Kreis, borderedBy, Unna district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Unna district
Context triple: [Märkischer Kreis, borderedBy, Unna district]
  • A. Unna district chosen
    Unna district is a Landkreis in the German state of North Rhine-Westphalia, located in the eastern Ruhr area and known for its mix of industrial towns and suburban communities.
  • B. Tillo District
    Tillo District is an administrative district in southeastern Turkey known for its historical and religious significance within Siirt Province.
  • C. Lillafüred district
    Lillafüred district is a scenic neighborhood of Miskolc in northeastern Hungary, known for its lakeside setting, historic hotel, and surrounding Bükk Mountains.
  • D. Hallunda district
    Hallunda district is a suburban residential area in Botkyrka Municipality, south of central Stockholm, Sweden.
  • E. Otyrar District
    Otyrar District is an administrative district in southern Kazakhstan, historically notable for encompassing the site of the ancient Silk Road city of Otyrar.
  • 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_6a003c70aaa08190bf88210c0b491fc1 completed May 10, 2026, 8:06 a.m.
Created at: April 10, 2026, 5:09 a.m.