Triple

T11379495
Position Surface form Disambiguated ID Type / Status
Subject Frederick III the Pious E269556 entity
Predicate birthPlace P1 FINISHED
Object Simmern E147118 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: Simmern | Statement: [Frederick III the Pious, birthPlace, Simmern]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Simmern
Context triple: [Frederick III the Pious, birthPlace, Simmern]
  • A. Simmern chosen
    Simmern is a small historic town in the Hunsrück region of Rhineland-Palatinate, Germany, known for its medieval heritage and former role as a seat of regional nobility.
  • B. Sulden
    Sulden is a small alpine village and ski resort in South Tyrol, northern Italy, known for its dramatic high-mountain scenery in the Ortler Alps.
  • C. Karosta
    Karosta is a historic former military port district in the Latvian city of Liepāja, known for its Tsarist-era fortifications, Soviet naval heritage, and distinctive coastal landscape.
  • D. Eging am See
    Eging am See is a small Bavarian town in southeastern Germany known for its scenic lakeside setting and proximity to the Bavarian Forest.
  • E. Landwasser
    Landwasser is a river in the canton of Graubünden in eastern Switzerland that flows through the alpine town of Davos.
  • 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_69d6aacca1048190b39dbbc2174616fa completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7fc30f5d48190bb273df4c9e583a9 completed April 9, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69e556a10f988190b173dc4880a8c6c6 completed April 19, 2026, 10:26 p.m.
Created at: April 8, 2026, 9:34 p.m.