Triple

T4367722
Position Surface form Disambiguated ID Type / Status
Subject Aurillac E98817 entity
Predicate twinTown P1072 FINISHED
Object Friedberg (Hesse) E347700 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 (Hesse) | Statement: [Aurillac, twinTown, Friedberg (Hesse)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Friedberg (Hesse)
Context triple: [Aurillac, twinTown, Friedberg (Hesse)]
  • A. Friedberg, Hesse chosen
    Friedberg, Hesse is a historic town in central Germany’s state of Hesse, known for its medieval architecture and prominent hilltop fortress.
  • B. Büdesheim
    Büdesheim is a municipality in Germany, known in part for its international town twinning, including a partnership with Saint-Cloud in France.
  • C. Korbach
    Korbach is a historic town in the German state of Hesse, known as the district seat of Waldeck-Frankenberg and for its well-preserved medieval old town.
  • D. Langenau
    Langenau is a small town in the Alb-Donau district of Baden-Württemberg in southern Germany, known for its historic center and proximity to the Swabian Jura.
  • E. Aichach-Friedberg
    Aichach-Friedberg is a rural district in the Bavarian administrative region of Swabia in southern Germany, known for its small towns, agricultural landscape, and proximity to Augsburg.
  • 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_69b3454db3708190aeafd814413c4c3d completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b35201be7081908808e81634060f95 completed March 12, 2026, 11:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5dbcec90881908fe83c83119d99fe completed March 14, 2026, 10:06 p.m.
Created at: March 12, 2026, 11:17 p.m.