Triple

T10668301
Position Surface form Disambiguated ID Type / Status
Subject Cambodunum E251415 entity
Predicate locatedNear P294 FINISHED
Object Kempten im Allgäu E263855 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: Kempten im Allgäu | Statement: [Cambodunum, locatedNear, Kempten im Allgäu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kempten im Allgäu
Context triple: [Cambodunum, locatedNear, Kempten im Allgäu]
  • A. Kempten chosen
    Kempten is a historic town in Bavaria, Germany, considered one of the country’s oldest urban settlements and known for its location in the Allgäu region.
  • B. Leutkirch im Allgäu
    Leutkirch im Allgäu is a historic town in the Allgäu region of southern Germany, known for its medieval old town and scenic Alpine foothill surroundings.
  • C. Füssen
    Füssen is a picturesque Bavarian town in southern Germany, known for its historic old town, proximity to Neuschwanstein Castle, and scenic location near the Alps.
  • D. Pfronten
    Pfronten is a Bavarian municipality in southern Germany known for its scenic Alpine setting near the Austrian border and outdoor recreation opportunities.
  • E. Traunstein
    Traunstein is a town in southeastern Bavaria, Germany, known as a regional administrative and cultural center near the Chiemsee and the Alps.
  • 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_69e373af06588190879cd11cce11c7bb completed April 18, 2026, 12:06 p.m.
Created at: April 8, 2026, 9:08 p.m.