Triple

T12406248
Position Surface form Disambiguated ID Type / Status
Subject Friedland E296394 entity
Predicate locatedIn P40 FINISHED
Object Göttingen district E61609 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: Göttingen district | Statement: [Friedland, locatedIn, Göttingen district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Göttingen district
Context triple: [Friedland, locatedIn, Göttingen district]
  • A. Göttingen district chosen
    Göttingen district is an administrative district in southern Lower Saxony, Germany, known for encompassing the university city of Göttingen and surrounding rural areas.
  • B. Nordhausen district
    Nordhausen district is a rural administrative district in the northern part of the German state of Thuringia, known for its historic town of Nordhausen and location at the southern edge of the Harz Mountains.
  • C. Hildesheim district
    Hildesheim district is a rural administrative district in Lower Saxony, Germany, surrounding the city of Hildesheim and comprising several towns and municipalities.
  • D. Lichtenburg district
    Lichtenburg district is a region in South Africa historically renowned for its major early-20th-century diamond rush.
  • E. Giessen district
    Giessen district is an administrative district in the German state of Hesse, centered around the city of Gießen and known for its mix of urban areas, universities, and rural landscapes.
  • 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_69d6ad9f464c81909db36d7e96e34b9e completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d48f1908190918551c794f98fe3 completed April 10, 2026, 7:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63488cac08190a81b2151c827932e completed May 2, 2026, 5:29 p.m.
Created at: April 8, 2026, 9:55 p.m.