Triple

T11467436
Position Surface form Disambiguated ID Type / Status
Subject Inge Scholl E271813 entity
Predicate placeOfBirth P1 FINISHED
Object Ingersheim E586928 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: Ingersheim | Statement: [Inge Scholl, placeOfBirth, Ingersheim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ingersheim
Context triple: [Inge Scholl, placeOfBirth, Ingersheim]
  • A. Ingersheim chosen
    Ingersheim is a small municipality in the German state of Baden-Württemberg, known as the birthplace of resistance member Hans Scholl of the White Rose movement.
  • B. Siegbach
    Siegbach is a small rural municipality in the German state of Hesse, known for its scenic location within the wooded hills of central Germany.
  • C. Meerbusch
    Meerbusch is a town in the German state of North Rhine-Westphalia, situated on the west bank of the Rhine near Düsseldorf and known for its affluent residential areas and green surroundings.
  • D. Scheyern
    Scheyern is a Bavarian municipality best known as the site of Scheyern Abbey, a historic Benedictine monastery and ancestral seat of the Wittelsbach family.
  • E. Erkelenz
    Erkelenz is a historic town in western Germany, known for its medieval origins and role as a regional administrative and cultural 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_69d6aae0c8d881908a5a360c0be3242e completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d822f74144819094479690c8151073 completed April 9, 2026, 10:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69f165f5b3d081909c00144eb9291ff5 completed April 29, 2026, 1:59 a.m.
Created at: April 8, 2026, 9:35 p.m.