Triple

T16124958
Position Surface form Disambiguated ID Type / Status
Subject Aichach-Friedberg E391244 entity
Predicate hasTown P847 FINISHED
Object Friedberg E418690 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: Friedberg | Statement: [Aichach-Friedberg, hasTown, Friedberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Friedberg
Context triple: [Aichach-Friedberg, hasTown, Friedberg]
  • A. Friedberg chosen
    Friedberg is a historic German town in the state of Hesse, known for its medieval fortifications and strategic importance during the Seven Years' War.
  • B. Friedberg
    Friedberg is a German-origin surname borne by various notable individuals across fields such as landscape architecture, academia, and the arts.
  • C. Kleinfeld
    Kleinfeld is a corrupt, cocaine-addicted lawyer in the crime film "Carlito's Way," whose reckless actions help drive the story’s tragic downfall.
  • D. Guttstadt
    Guttstadt is the former German name of the town now known as Dobre Miasto in northern Poland.
  • E. Neustadt
    Neustadt is a district of the Austrian city of Salzburg, known for its central urban character within the historic and cultural landscape of the city.
  • 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_69d87f1bb0988190b490d273dbf3fd03 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e2020408a88190bf3dfc893d577c55 completed April 17, 2026, 9:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff79ecea0819083aa5cb676d49f64 completed May 10, 2026, 3:12 a.m.
Created at: April 10, 2026, 5 a.m.