Triple

T1231412
Position Surface form Disambiguated ID Type / Status
Subject University of Kiel E26450 entity
Predicate locatedIn P40 FINISHED
Object Kiel E108871 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: Kiel | Statement: [University of Kiel, locatedIn, Kiel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kiel
Context triple: [University of Kiel, locatedIn, Kiel]
  • A. Kiel chosen
    Kiel is a major port city in northern Germany on the Baltic Sea, known for its maritime industry and the annual Kiel Week sailing festival.
  • B. Frombork
    Frombork is a historic town in northern Poland best known as the place where astronomer Nicolaus Copernicus lived, worked, and was buried, and for its prominent cathedral complex overlooking the Vistula Lagoon.
  • C. Gdańsk
    Gdańsk is a major Polish port city on the Baltic Sea, known for its rich Hanseatic history, shipyards, and role in the origins of the Solidarity movement.
  • D. Königsberg
    Königsberg was a historic Prussian city on the Baltic Sea, renowned as a major cultural and intellectual center of East Prussia and later known as Kaliningrad.
  • E. Oldenburg
    Oldenburg is a historic university city in northwestern Germany known for its cultural heritage and role as a regional economic center.
  • 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_69a4948571c88190a9191e451e6035fd completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4be5a25348190a0665b6324c4d8f5 completed March 1, 2026, 10:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69acacb1730c8190aeb60cad33f44597 completed March 7, 2026, 10:54 p.m.
Created at: March 1, 2026, 7:47 p.m.