Triple

T6324095
Position Surface form Disambiguated ID Type / Status
Subject Kitzbühel Alps E141817 entity
Predicate hasResort P4287 FINISHED
Object St. Johann in Tirol E485871 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: St. Johann in Tirol | Statement: [Kitzbühel Alps, hasResort, St. Johann in Tirol]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: St. Johann in Tirol
Context triple: [Kitzbühel Alps, hasResort, St. Johann in Tirol]
  • A. St. Johann in Tirol chosen
    St. Johann in Tirol is a picturesque market town and ski resort in the Austrian Alps, known for its outdoor recreation and proximity to Kitzbühel.
  • B. Kufstein
    Kufstein is a historic town in the Austrian state of Tyrol, known for its medieval fortress and picturesque setting in the Alps near the German border.
  • C. Ischl
    The Ischl is a river in Upper Austria that flows through the spa town of Bad Ischl before joining the Traun.
  • D. Sankt Veit am Flaum
    Sankt Veit am Flaum is the historical German name for the Croatian port city of Rijeka on the Adriatic Sea.
  • E. St. Johann im Pongau
    St. Johann im Pongau is a market town and popular alpine tourism center in the Austrian Alps, known for skiing, hiking, and its role as a regional hub in the Pongau district.
  • 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_69c008d201748190917e69c41ba3f978 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c064e538ac81908c5d7556513c2bc3 completed March 22, 2026, 9:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6040b1e0481908095decce40107b4 completed March 27, 2026, 4:14 a.m.
Created at: March 22, 2026, 4:29 p.m.