Triple

T6871272
Position Surface form Disambiguated ID Type / Status
Subject Hohe Tauern E158550 entity
Predicate riverSource P12617 FINISHED
Object Möll E445891 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: Möll | Statement: [Hohe Tauern, riverSource, Möll]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Möll
Context triple: [Hohe Tauern, riverSource, Möll]
  • A. Möll River chosen
    The Möll River is a mountain river in the Austrian state of Carinthia, flowing through the Hohe Tauern region and known for its scenic alpine landscapes and outdoor recreation opportunities.
  • B. Unterweser
    Unterweser is the name given to the lower tidal section of the Weser River in northwestern Germany, extending from near Bremen to its mouth at the North Sea.
  • C. Traun
    Traun is a town in the Austrian state of Upper Austria, located near Linz along the Traun River and known as a residential and industrial suburb of the regional capital.
  • D. Pitztal
    Pitztal is a valley in the Austrian Tyrol known for its high alpine scenery, glacier skiing, and access to prominent peaks in the Ötztal Alps.
  • E. Wiesentheid
    Wiesentheid is a market town in northern Bavaria, Germany, known for its Baroque architecture and location within the Franconian wine-growing region.
  • 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_69c68831e3648190a643c328122e4d43 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d8ac04e08190aa8011c0ade9d509 completed March 27, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c742a841548190abd706ea1efd622f completed March 28, 2026, 2:53 a.m.
Created at: March 27, 2026, 2:22 p.m.