Triple

T10441685
Position Surface form Disambiguated ID Type / Status
Subject Ruhr reservoir system E246184 entity
Predicate managedBy P86 FINISHED
Object Ruhrverband E229752 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: Ruhrverband | Statement: [Ruhr reservoir system, managedBy, Ruhrverband]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ruhrverband
Context triple: [Ruhr reservoir system, managedBy, Ruhrverband]
  • A. Ruhrverband chosen
    Ruhrverband is a German water management association responsible for operating reservoirs, dams, and water infrastructure in the Ruhr river basin.
  • B. Regionalverband Ruhr
    Regionalverband Ruhr is a regional association in Germany that coordinates planning, development, and cooperation among cities in the Ruhr metropolitan area.
  • C. Ruhr area
    The Ruhr area is a major urban and industrial region in western Germany known for its dense concentration of cities, former coal and steel industries, and subsequent transformation into a cultural and service hub.
  • D. Ruhr
    The Ruhr is a river in western Germany that flows through the Ruhr industrial region before joining the Rhine.
  • 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 (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_69d381c04fe08190957c26c526a3b05a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4fb9ebf488190ae776bd65e94cb00 completed April 7, 2026, 12:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69d87ed6edd88190afd5063daba58a46 completed April 10, 2026, 4:38 a.m.
Created at: April 6, 2026, 12:15 p.m.