Triple

T10668305
Position Surface form Disambiguated ID Type / Status
Subject Cambodunum E251415 entity
Predicate region P40 FINISHED
Object Allgäu E209089 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: Allgäu | Statement: [Cambodunum, region, Allgäu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Allgäu
Context triple: [Cambodunum, region, Allgäu]
  • A. Allgäu region chosen
    The Allgäu region is a picturesque area in southern Germany known for its alpine landscapes, traditional Bavarian culture, and famous fairy-tale castles.
  • B. Vinschgau
    Vinschgau is a valley region in South Tyrol, northern Italy, known for its alpine landscapes, apple orchards, and mix of Italian and German-speaking culture.
  • C. Ötztal
    Ötztal is a prominent alpine valley in western Austria known for its dramatic mountain scenery, ski resorts, and outdoor recreation opportunities.
  • D. Glarus
    Glarus is a mountainous canton in eastern Switzerland known for its alpine landscapes, textile industry history, and early adoption of progressive democratic reforms.
  • E. Unterallgäu
    Unterallgäu is a rural district in the Bavarian region of Swabia in southern Germany, known for its agricultural landscape and small towns.
  • 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_69d6aa5b0d2881909584b20efc5877f0 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6f860790c81909c2c1d3c489ec5b4 completed April 9, 2026, 12:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69d97a9ceea08190944354d127f2c73b completed April 10, 2026, 10:33 p.m.
Created at: April 8, 2026, 9:08 p.m.