Triple

T15351032
Position Surface form Disambiguated ID Type / Status
Subject SZ E367050 entity
Predicate regionServed P82 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: [SZ, regionServed, city of Salzgitter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: city of Salzgitter
Context triple: [SZ, regionServed, 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_69d85a1355608190a6673ddb67231d54 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e290efc8190b22c95dcd3e5f57f completed April 16, 2026, 1:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff1341033881909121ade33cecaf50 completed May 9, 2026, 10:58 a.m.
Created at: April 10, 2026, 3:17 a.m.