Triple

T9179570
Position Surface form Disambiguated ID Type / Status
Subject Bottrop E220286 entity
Predicate borderedBy P224 FINISHED
Object Dinslaken E327959 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: Dinslaken | Statement: [Bottrop, borderedBy, Dinslaken]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dinslaken
Context triple: [Bottrop, borderedBy, Dinslaken]
  • A. Dinslaken chosen
    Dinslaken is a town in western Germany’s North Rhine-Westphalia region, known for its industrial heritage and proximity to the Ruhr area.
  • B. Fricktal
    Fricktal is a region in northwestern Switzerland known for its rural landscapes, vineyards, and location along the Rhine near the German border.
  • C. Niederglatt
    Niederglatt is a municipality in the canton of Zurich in northern Switzerland, situated in the Glatt Valley and integrated into the greater Zurich metropolitan area.
  • D. Pöchlarn
    Pöchlarn is a small town in Lower Austria best known as the birthplace of the expressionist painter Oskar Kokoschka.
  • E. Reinsberg
    Reinsberg is a municipality in the German state of Saxony, located within the administrative district of Mittelsachsen.
  • 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_69ca83e589948190ac9907819db11ddf completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccc25064588190856c96b229d9cd60 completed April 1, 2026, 6:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69d054b5512c8190aa7909ef8b56b186 completed April 4, 2026, midnight
Created at: March 30, 2026, 7:23 p.m.