Triple

T13412687
Position Surface form Disambiguated ID Type / Status
Subject Hunsrück E320128 entity
Predicate hasSubregion P285 FINISHED
Object Soonwald E533677 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: Soonwald | Statement: [Hunsrück, hasSubregion, Soonwald]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Soonwald
Context triple: [Hunsrück, hasSubregion, Soonwald]
  • A. Soonwald chosen
    Soonwald is a densely forested low mountain range in the Hunsrück region of Rhineland-Palatinate, Germany, known for its natural landscapes and hiking trails.
  • B. Vali
    Vali is a powerful vanara king and warrior in the Hindu epic Ramayana, known for his immense strength and his fateful conflict with his brother Sugriva and Lord Rama.
  • C. Sovern
    Sovern is a surname most notably associated with Michael I. Sovern, an American legal scholar and former president of Columbia University.
  • D. Boren
    Boren is a surname most prominently associated with American politician and former Oklahoma governor and U.S. senator David Boren.
  • E. Beilein
    Beilein is a surname most prominently associated with American basketball coach John Beilein, known for his successful collegiate coaching career.
  • 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_69d806b943cc8190b6af624d385d7e12 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaeb556948190af008c88e5bbf051 completed April 12, 2026, 2:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7307e9b5881908eb2cd9e4fa7c5f2 completed May 3, 2026, 11:24 a.m.
Created at: April 9, 2026, 9:35 p.m.