Triple

T5096140
Position Surface form Disambiguated ID Type / Status
Subject Pratzen Heights E114868 entity
Predicate partOf P40 FINISHED
Object Austerlitz battlefield E424882 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: Austerlitz battlefield | Statement: [Pratzen Heights, partOf, Austerlitz battlefield]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Austerlitz battlefield
Context triple: [Pratzen Heights, partOf, Austerlitz battlefield]
  • A. Austerlitz battlefield chosen
    Austerlitz battlefield is the historic site in the Czech Republic where Napoleon achieved a decisive victory in the 1805 Battle of Austerlitz, one of his most famous military triumphs.
  • B. Pont d’Austerlitz
    Pont d’Austerlitz is a road and rail bridge over the Seine in Paris, notable for carrying both vehicular traffic and Paris Métro Line 5 between the 12th and 13th arrondissements.
  • C. Austerlitz
    Austerlitz is the original family surname of legendary American dancer, singer, and actor Fred Astaire.
  • D. Pegnitz
    Pegnitz is a river in the German state of Bavaria that flows through cities such as Nuremberg and Bayreuth before joining the Rednitz to form the Regnitz.
  • E. Sündersbühl
    Sündersbühl is a district in Nuremberg, Germany, served by the city’s U3 underground line.
  • 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_69bd443fc49c819089629c00e311310c completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd75652a8081908386718f1fdb1de3 completed March 20, 2026, 4:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69beba80aee081908498cbe9d4f2eaa7 completed March 21, 2026, 3:34 p.m.
Created at: March 20, 2026, 1:40 p.m.