Triple

T9440779
Position Surface form Disambiguated ID Type / Status
Subject Augsburg district E227639 entity
Predicate borders P224 FINISHED
Object City of Augsburg E127006 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: City of Augsburg | Statement: [Augsburg district, borders, City of Augsburg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Augsburg
Context triple: [Augsburg district, borders, City of Augsburg]
  • A. Augsburg chosen
    Augsburg is one of Germany’s oldest cities, a historic Bavarian center known for its rich Renaissance heritage and role as a major medieval trading hub.
  • B. Landshut
    Landshut is a historic Bavarian city in southeastern Germany known for its well-preserved medieval architecture and the landmark Trausnitz Castle.
  • C. Imperial City of Esslingen
    The Imperial City of Esslingen was a self-governing Free Imperial City of the Holy Roman Empire, located in what is now southwestern Germany and historically notable for its medieval architecture and role in regional trade.
  • D. Imperial City of Friedberg
    The Imperial City of Friedberg was a self-governing Free Imperial City of the Holy Roman Empire located in what is now the German state of Hesse.
  • E. Altdorf bei Nürnberg
    Altdorf bei Nürnberg is a small historic town in Bavaria, Germany, known for its former university and proximity to the city of Nuremberg.
  • 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_69ca843884488190ad6cbe0153088234 completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd7ee4f4a08190ada5ee14fec2b822 completed April 1, 2026, 8:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1105dc6b48190bd6c7d932d9f48d5 completed April 4, 2026, 1:21 p.m.
Created at: March 30, 2026, 7:50 p.m.