Triple

T16763165
Position Surface form Disambiguated ID Type / Status
Subject district of Wesel E407395 entity
Predicate containsMunicipality P852 FINISHED
Object Neukirchen-Vluyn E1200206 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: Neukirchen-Vluyn | Statement: [district of Wesel, containsMunicipality, Neukirchen-Vluyn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Neukirchen-Vluyn
Context triple: [district of Wesel, containsMunicipality, Neukirchen-Vluyn]
  • A. Neukirchen-Vluyn chosen
    Neukirchen-Vluyn is a small town in North Rhine-Westphalia, western Germany, known for its historical roots in coal mining and its location near the Rhine and Ruhr regions.
  • B. Kronshagen
    Kronshagen is a small municipality in the German state of Schleswig-Holstein, located near the city of Kiel.
  • C. Schildwolde
    Schildwolde is a village in the Dutch province of Groningen, known for its historic church and rural character within the municipality of Midden-Groningen.
  • D. Othmarschen
    Othmarschen is a residential district in the west of Hamburg, Germany, known for its affluent neighborhoods, green spaces, and location along the Elbe River.
  • E. Splügen
    Splügen is a Swiss village in the canton of Graubünden, known as a historic transit point in the Alps near the Splügen Pass.
  • 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_69d8839174188190909f190097207065 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3abee862c819086d9bf01e623a8ce completed April 18, 2026, 4:06 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00a52ff9d481909675c7e1f81191dc completed May 10, 2026, 3:33 p.m.
Created at: April 10, 2026, 5:21 a.m.