Triple

T21219147
Position Surface form Disambiguated ID Type / Status
Subject Leonhard Hutter E522918 entity
Predicate placeOfBirth P1 FINISHED
Object Nellingen 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: Nellingen | Statement: [Leonhard Hutter, placeOfBirth, Nellingen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nellingen
Context triple: [Leonhard Hutter, placeOfBirth, Nellingen]
  • A. Nellingen chosen
    Nellingen is a small municipality in the Alb-Donau district of the German state of Baden-Württemberg, situated on the Swabian Jura plateau.
  • B. Goeferdinge
    Goeferdinge is a village in the Flemish province of East Flanders, Belgium, that forms part of the municipality of Geraardsbergen.
  • C. Gailingen
    Gailingen is a village in the German municipality of Gailingen am Hochrhein in the state of Baden-Württemberg, near the Swiss border along the High Rhine.
  • D. Zandhoven
    Zandhoven is a municipality in the Belgian province of Antwerp, known for its rural character and village communities.
  • E. Hedingen
    Hedingen is a small municipality in the canton of Zurich in Switzerland, situated in the district of Affoltern within the Albis region.
  • 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_69e0b511ed84819099b449b4a111085c completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e73476d93481909c6c99dcc0b16123 completed April 21, 2026, 8:25 a.m.
Created at: April 16, 2026, 3:42 p.m.