Triple

T12216631
Position Surface form Disambiguated ID Type / Status
Subject Friedrich Georg Wilhelm von Struve E291102 entity
Predicate placeOfBirth P1 FINISHED
Object Altona E785302 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: Altona | Statement: [Friedrich Georg Wilhelm von Struve, placeOfBirth, Altona]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Altona
Context triple: [Friedrich Georg Wilhelm von Struve, placeOfBirth, Altona]
  • A. Hamburg-Altona
    Hamburg-Altona is a major district and transportation hub in western Hamburg, Germany, known for its busy long-distance and regional train station and vibrant urban neighborhoods.
  • B. Brunsbüttel
    Brunsbüttel is a German port town at the western entrance of the Kiel Canal on the North Sea coast of Schleswig-Holstein.
  • C. Altona, Holstein chosen
    Altona, Holstein was a historically significant town in the Duchy of Holstein (now part of Hamburg, Germany), known as an important commercial and cultural center under Danish rule.
  • D. Köpenick
    Köpenick is a historic, green district in southeastern Berlin known for its old town, baroque palace on the Dahme River, and extensive forests and lakes.
  • E. Fuhlsbüttel
    Fuhlsbüttel is a district in the northern German city of Hamburg best known for hosting the city’s international airport.
  • 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_69d6ab65923081909acfc61b7a612233 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91c9419d48190b0037fe8edc681c4 completed April 10, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e5882408190b4853f3a11c249c2 completed May 2, 2026, 3:55 p.m.
Created at: April 8, 2026, 9:51 p.m.