Triple

T17816263
Position Surface form Disambiguated ID Type / Status
Subject Western Tyrol E444848 entity
Predicate hasTown P847 FINISHED
Object Reutte 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: Reutte | Statement: [Western Tyrol, hasTown, Reutte]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Reutte
Context triple: [Western Tyrol, hasTown, Reutte]
  • A. Reutte chosen
    Reutte is a market town in the Austrian state of Tyrol, known as a regional center near the German border and a gateway to the surrounding Alpine valleys and castles.
  • B. Wörgl
    Wörgl is a small Austrian town in the state of Tyrol, known for its role in early 20th-century economic experiments with local currency and its location in the Inn Valley near major Alpine ski areas.
  • C. Ischl
    The Ischl is a river in Upper Austria that flows through the spa town of Bad Ischl before joining the Traun.
  • D. Mauthen
    Mauthen is a small village in the Austrian state of Carinthia, known for its Alpine setting near the Italian border.
  • E. Traunreut
    Traunreut is a Bavarian town in southeastern Germany known for its industrial base and proximity to the Alpine foothills and Chiemsee lake.
  • 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_69d8b9f0de78819099395b14db75a8a6 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4887f7d048190b6d813b9f0fab3e7 completed April 19, 2026, 7:47 a.m.
Created at: April 10, 2026, 10:14 a.m.