Triple

T20345253
Position Surface form Disambiguated ID Type / Status
Subject Gasometer Oberhausen E495848 entity
Predicate operator P179 FINISHED
Object Stadt Oberhausen NE NERFINISHED

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: Stadt Oberhausen | Statement: [Gasometer Oberhausen, operator, Stadt Oberhausen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stadt Oberhausen
Context triple: [Gasometer Oberhausen, operator, Stadt Oberhausen]
  • A. Oberhausen chosen
    Oberhausen is an industrial city in Germany’s Ruhr region, historically known for its coal and steel production and heavily affected by World War II bombing.
  • B. Oberhausen
    Oberhausen is a small Bavarian municipality in southern Germany, situated in the rural district of Weilheim-Schongau.
  • C. Oberhausen an der Nahe
    Oberhausen an der Nahe is a small winegrowing village in Germany’s Nahe region, known for its high-quality Riesling vineyards along the Nahe River.
  • D. Mülheim an der Ruhr
    Mülheim an der Ruhr is a city in western Germany’s Ruhr area, known for its industrial heritage, riverside setting on the Ruhr River, and role as a regional economic and cultural center.
  • E. Recklinghausen
    Recklinghausen is a city in the Ruhr area of North Rhine-Westphalia, western Germany, known historically for coal mining and its role as a regional administrative center.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4a3320881909495ae8bc30bc2dc completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e67838744481909069b76b25dd4bb9 completed April 20, 2026, 7:02 p.m.
Created at: April 16, 2026, 11:24 a.m.