Triple

T9540501
Position Surface form Disambiguated ID Type / Status
Subject Plattling E230143 entity
Predicate twinTown P1072 FINISHED
Object Scharnitz E470992 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: Scharnitz | Statement: [Plattling, twinTown, Scharnitz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Scharnitz
Context triple: [Plattling, twinTown, Scharnitz]
  • A. Scharnitz chosen
    Scharnitz is a village in the Austrian state of Tyrol that serves as a gateway to the Karwendel mountain range and the Karwendel Alpine Park.
  • B. Gloggnitz
    Gloggnitz is a town in Lower Austria known as a gateway to the Semmering region and an important stop on the historic Southern Railway line.
  • C. Kittsee
    Kittsee is a small Austrian town in the state of Burgenland, near the Slovak border, known historically for its multicultural character and as the birthplace of violinist Joseph Joachim.
  • D. Schönbichl
    Schönbichl is a small island located in the Eibsee, a picturesque alpine lake at the foot of Germany’s Zugspitze mountain.
  • E. Stechelberg
    Stechelberg is a small Swiss village at the end of the Lauterbrunnen Valley, known for its dramatic alpine scenery and access to hiking and cable cars into the surrounding mountains.
  • 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_69ca847b1b3081908f72bc932c17cc41 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd98e695948190ab107fff38c57de7 completed April 1, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69d18211c1408190806823e93932c64c completed April 4, 2026, 9:26 p.m.
Created at: March 30, 2026, 8:01 p.m.