Triple

T19168847
Position Surface form Disambiguated ID Type / Status
Subject Brixen E469258 entity
Predicate twinTown P1072 FINISHED
Object Brixen im Thale 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: Brixen im Thale | Statement: [Brixen, twinTown, Brixen im Thale]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brixen im Thale
Context triple: [Brixen, twinTown, Brixen im Thale]
  • A. Brixen chosen
    Brixen is a historic town in South Tyrol, northern Italy, known for its medieval architecture, Alpine setting, and role as a cultural and religious center in the region.
  • B. Mauthen
    Mauthen is a small village in the Austrian state of Carinthia, known for its Alpine setting near the Italian border.
  • C. 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.
  • D. Mittersill
    Mittersill is a small town in the Austrian state of Salzburg, known for its Alpine setting in the Hohe Tauern region.
  • E. Imst
    Imst is a small alpine town in western Austria known for its scenic Tyrolean landscape and traditional culture.
  • 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_69d8dd09d5a081909ae43c286651ae5a completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5f162ac648190a5f60c6a77b68304 completed April 20, 2026, 9:26 a.m.
Created at: April 10, 2026, 12:06 p.m.