Triple

T9494998
Position Surface form Disambiguated ID Type / Status
Subject Rendsburg High Bridge E228981 entity
Predicate locatedIn P40 FINISHED
Object Rendsburg E228981 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: Rendsburg | Statement: [Rendsburg High Bridge, locatedIn, Rendsburg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rendsburg
Context triple: [Rendsburg High Bridge, locatedIn, Rendsburg]
  • A. Rendsburg chosen
    Rendsburg is a historic town in northern Germany known for its strategic location on the Kiel Canal and its distinctive high railway bridge.
  • B. Lauenburg
    Lauenburg is a historic town in northern Germany situated on the banks of the Elbe River.
  • C. Borghorst
    Borghorst is a district of the German town Steinfurt in North Rhine-Westphalia, known historically for its textile industry and regional cultural heritage.
  • D. Neumünster
    Neumünster is a mid-sized industrial and commercial city in northern Germany known for its textile history and central location within Schleswig-Holstein.
  • E. Malchow
    Malchow is a small locality within the Berlin borough of Lichtenberg, known for its more rural character and green surroundings compared to the inner city.
  • 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_69ca84753660819098e8d416e89e26ae completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd95ea4a04819092c7842361c6296e completed April 1, 2026, 10:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69d189e883b48190a98dfcde2cd0fba0 completed April 4, 2026, 10 p.m.
Created at: March 30, 2026, 7:56 p.m.