Triple

T14951074
Position Surface form Disambiguated ID Type / Status
Subject Weimarer Land E372793 entity
Predicate bordersWith P224 FINISHED
Object Ilm-Kreis E996410 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: Ilm-Kreis | Statement: [Weimarer Land, bordersWith, Ilm-Kreis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ilm-Kreis
Context triple: [Weimarer Land, bordersWith, Ilm-Kreis]
  • A. Ilm-Kreis chosen
    Ilm-Kreis is a rural district in the state of Thuringia in central Germany, known for its mix of historic towns and forested landscapes in the Thuringian Forest region.
  • B. Zell im Wiesental
    Zell im Wiesental is a small town in the Black Forest region of southwestern Germany, known as the birthplace of Constanze Mozart, the wife of composer Wolfgang Amadeus Mozart.
  • C. Dinkelscherben
    Dinkelscherben is a municipality in the Swabian region of Bavaria in southern Germany.
  • D. Spiegelrei
    Spiegelrei is a picturesque historic canal quay in Bruges, Belgium, known for its medieval architecture and scenic waterfront views.
  • E. La Meinau
    La Meinau is a football stadium in Strasbourg, France, best known as the long-time home ground of RC Strasbourg Alsace.
  • 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_69d85cca979481908747d2a81eba1cea completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded690f2e08190ad9dad6dc05a164a completed April 15, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe7e9a6098819087b6e81bebcf6805 completed May 9, 2026, 12:23 a.m.
Created at: April 10, 2026, 2:39 a.m.