Triple

T15557521
Position Surface form Disambiguated ID Type / Status
Subject Salzgittersee E370907 entity
Predicate isManagedBy P86 FINISHED
Object city of Salzgitter E75169 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: city of Salzgitter | Statement: [Salzgittersee, isManagedBy, city of Salzgitter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: city of Salzgitter
Context triple: [Salzgittersee, isManagedBy, city of Salzgitter]
  • A. Salzgitter chosen
    Salzgitter is a major industrial city in central Germany known for its steel production and location within the federal state of Lower Saxony.
  • B. Salzgitter region
    The Salzgitter region is an area in Lower Saxony, Germany, centered around the city of Salzgitter and known for its industrial heritage and local Ostfälisch dialect.
  • C. Eisenhüttenstadt
    Eisenhüttenstadt is an industrial planned city in eastern Germany, known for its large steelworks and postwar socialist urban design.
  • D. City of Essen
    The City of Essen is a major urban center in Germany’s Ruhr area, historically significant as a medieval ecclesiastical seat and later as an important industrial and coal-mining hub.
  • E. Sondershausen
    Sondershausen is a small town in the German state of Thuringia, known for its historic castle, former role as a princely residence, and long tradition of mining and music.
  • 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_69d85cc6cf40819091f4a5facee1ebe6 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04dda3ab88190ab383333ce69fe8f completed April 16, 2026, 2:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff4c4046c08190a43bd5577a97f33d completed May 9, 2026, 3:01 p.m.
Created at: April 10, 2026, 4:09 a.m.