Triple

T9610379
Position Surface form Disambiguated ID Type / Status
Subject Sauerland E232082 entity
Predicate mountainRange P648 FINISHED
Object Rothaar Mountains E317100 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: Rothaar Mountains | Statement: [Sauerland, mountainRange, Rothaar Mountains]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rothaar Mountains
Context triple: [Sauerland, mountainRange, Rothaar Mountains]
  • A. Rothaar Mountains chosen
    The Rothaar Mountains are a low mountain range in western Germany known for their forested hills, hiking trails, and role as a watershed for several major rivers.
  • B. Hagen Mountains
    The Hagen Mountains are a rugged limestone mountain range in the Northern Limestone Alps of Austria, forming part of the Berchtesgaden Alps near the Salzach River.
  • C. Radfan mountains
    The Radfan mountains are a rugged highland region in southern Yemen that became a key battleground during the 1960s conflict surrounding British rule in Aden.
  • D. Taunus Mountains
    The Taunus Mountains are a low mountain range in central Germany known for their forested hills, spa towns, and proximity to the Rhine-Main metropolitan region.
  • E. Eifel Mountains
    The Eifel Mountains are a low mountain range in western Germany and eastern Belgium, known for their volcanic landscapes, dense forests, and picturesque villages.
  • 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_69ca8485a90c819094fe40b42fde9d70 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9a85d4c881909ccab2e972d97e68 completed April 1, 2026, 10:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69d179491ecc8190a72be68cc5f572b2 completed April 4, 2026, 8:49 p.m.
Created at: March 30, 2026, 8:08 p.m.