Triple

T3114402
Position Surface form Disambiguated ID Type / Status
Subject Rednitz River E65025 entity
Predicate hasTributary P415 FINISHED
Object Fränkische Rezat E115534 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: Fränkische Rezat | Statement: [Rednitz River, hasTributary, Fränkische Rezat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fränkische Rezat
Context triple: [Rednitz River, hasTributary, Fränkische Rezat]
  • A. Fränkische Rezat chosen
    The Fränkische Rezat is a river in the German state of Bavaria that flows through Franconia and joins with the Schwäbische Rezat to form the Rednitz.
  • B. Lauterach
    Lauterach is a small municipality in the Alb-Donau district of Baden-Württemberg in southern Germany, known for its rural character and scenic Swabian Jura surroundings.
  • C. Lindauer
    Lindauer is a German surname borne by various notable individuals across fields such as science, art, and public life.
  • D. Luterbach
    Luterbach is a municipality in the canton of Solothurn in northwestern Switzerland, known for its residential character and proximity to the Aare River.
  • E. Kreuth
    Kreuth is a Bavarian municipality in southern Germany, known for its alpine landscape and location near Lake Tegernsee in the Bavarian 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_69ad857fcc088190b0c4d45a5cde6f61 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada43dca688190ab041554220c5271 completed March 8, 2026, 4:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2039b11d4819095ee77d84d6e7b8a completed March 12, 2026, 12:06 a.m.
Created at: March 8, 2026, 3:04 p.m.