Triple

T20114345
Position Surface form Disambiguated ID Type / Status
Subject South Tyrol E490414 entity
Predicate hasCity P316 FINISHED
Object Bruneck NE NERFINISHED

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: Bruneck | Statement: [South Tyrol, hasCity, Bruneck]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bruneck
Context triple: [South Tyrol, hasCity, Bruneck]
  • A. Brunico chosen
    Brunico is a historic town and popular tourist center in northern Italy’s Alps, known for its medieval old town, castle, and proximity to the Dolomites.
  • B. Schruns
    Schruns is a small alpine town and popular ski resort in the Montafon valley of Vorarlberg, western Austria.
  • C. Ossiach
    Ossiach is a small lakeside municipality in the Austrian state of Carinthia, known for its scenic setting on Lake Ossiach and its historic Benedictine abbey.
  • D. Oetz
    Oetz is a picturesque alpine village and popular tourist resort in the Tyrolean Ötztal region of western Austria, known for skiing, hiking, and outdoor recreation.
  • E. Gratkorn
    Gratkorn is a market town in the Austrian state of Styria, located just north of Graz and known for its large paper mill and industrial character.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da62636cc08190982cc71733a17b8d completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e666e31af081908d8e0c867c388a73 completed April 20, 2026, 5:48 p.m.
Created at: April 11, 2026, 11:29 p.m.