Triple

T14977635
Position Surface form Disambiguated ID Type / Status
Subject Salzkammergut E373492 entity
Predicate contains P35 FINISHED
Object Traunstein (mountain) E945611 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: Traunstein (mountain) | Statement: [Salzkammergut, contains, Traunstein (mountain)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Traunstein (mountain)
Context triple: [Salzkammergut, contains, Traunstein (mountain)]
  • A. Traunstein mountain chosen
    Traunstein mountain is a prominent limestone peak in the Salzkammergut region of Upper Austria, known for its steep cliffs, extensive hiking routes, and panoramic views over the Traunsee.
  • B. Wiesensteig
    Wiesensteig is a small historic town in the Swabian Alps region of Baden-Württemberg in southern Germany.
  • C. Obertraun
    Obertraun is a small Austrian village in the Salzkammergut region, known for its alpine scenery and proximity to the Dachstein mountains and Hallstatt.
  • D. Brennkogel
    Brennkogel is a mountain peak in the Austrian Alps, located within the Glockner Group of the High Tauern range.
  • E. Schrankogel
    Schrankogel is one of the highest and most prominent mountains in the Stubai Alps of Tyrol, Austria, popular with experienced alpine climbers.
  • 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_69d85ccbbcd48190acb56e7cf104d8ad completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded6fbd138819092254ea37388026c completed April 15, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe8beca6d88190a0c1adb18c9f2ac4 completed May 9, 2026, 1:20 a.m.
Created at: April 10, 2026, 2:51 a.m.