Triple

T20240113
Position Surface form Disambiguated ID Type / Status
Subject Blindheim E498260 entity
Predicate hasGermanName P1435 FINISHED
Object Blindheim NE NERFINISHED

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: Blindheim | Statement: [Blindheim, hasGermanName, Blindheim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Blindheim
Context triple: [Blindheim, hasGermanName, Blindheim]
  • A. Blindheim chosen
    Blindheim is a village in Bavaria, Germany, best known as the site of the pivotal 1704 Battle of Blenheim during the War of the Spanish Succession.
  • B. Bogheim
    Bogheim is a small village in North Rhine-Westphalia, Germany, that forms part of the municipality of Kreuzau in the Düren district.
  • C. Lorchhausen
    Lorchhausen is a small district of the town of Lorch in the Rheingau region of Hesse, Germany, known for its winegrowing and scenic location along the Rhine River.
  • D. La Meinau
    La Meinau is a football stadium in Strasbourg, France, best known as the long-time home ground of RC Strasbourg Alsace.
  • E. Altleiningen
    Altleiningen is a small municipality in the Rhineland-Palatinate region of western Germany, known for its medieval castle and scenic location in the Palatinate Forest.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da6274c58c81909c646eabed6f4f30 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6716dd0b081909d4063150cdc0c02 completed April 20, 2026, 6:33 p.m.
Created at: April 11, 2026, 11:40 p.m.