Triple

T15732349
Position Surface form Disambiguated ID Type / Status
Subject Ernst Jünger E381374 entity
Predicate placeOfDeath P21 FINISHED
Object Riedlingen E757549 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: Riedlingen | Statement: [Ernst Jünger, placeOfDeath, Riedlingen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Riedlingen
Context triple: [Ernst Jünger, placeOfDeath, Riedlingen]
  • A. Riedlingen chosen
    Riedlingen is a small historic town in the state of Baden-Württemberg in southern Germany, known for its well-preserved medieval old town on the Danube River.
  • B. Gündlingen
    Gündlingen is a village and district of the town Breisach am Rhein in the state of Baden-Württemberg in southwestern Germany.
  • C. Vaterstetten
    Vaterstetten is a municipality in the district of Ebersberg near Munich in Bavaria, Germany, known as a residential suburb with strong transport links to the Bavarian capital.
  • D. Rheinsfelden
    Rheinsfelden is a locality in the canton of Zurich, Switzerland, situated near the confluence of the Glatt River with the Rhine.
  • E. Steißlingen
    Steißlingen is a municipality in the district of Konstanz in the state of Baden-Württemberg in southern Germany.
  • 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_69d86d9cdb648190bf3171be0bd7d872 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04fd3614481908b2694b1d3550058 completed April 16, 2026, 2:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffc3b4378c81908850161988a03b9e completed May 9, 2026, 11:31 p.m.
Created at: April 10, 2026, 4:46 a.m.