Triple

T2025131
Position Surface form Disambiguated ID Type / Status
Subject Fürth E44190 entity
Predicate locatedOn P40 FINISHED
Object Rednitz River E65025 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: Rednitz River | Statement: [Fürth, locatedOn, Rednitz River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rednitz River
Context triple: [Fürth, locatedOn, Rednitz River]
  • A. Rednitz River chosen
    The Rednitz River is a river in Franconia, Germany, that flows through cities such as Fürth before joining the Pegnitz to form the Regnitz.
  • B. Blau River
    The Blau River is a small river in the state of Baden-Württemberg in southern Germany, known for flowing through the Swabian Jura and joining the Danube at Ulm.
  • C. Linde River
    The Linde River is a lesser-known watercourse in Russia that feeds into the major Siberian Lena River system.
  • D. Dore River
    The Dore River is a river in central France that flows through the Massif Central and joins the Allier River, contributing to the Loire basin.
  • E. Limmat River
    The Limmat River is a major Swiss waterway that flows out of Lake Zurich and runs through the city of Zurich before joining the Aare River.
  • 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_69a8891201bc8190aca837be6de41579 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb8f3faa08190a48ae1355d6e009f completed March 7, 2026, 5:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69af1f702640819085b5d5d69615b92a completed March 9, 2026, 7:28 p.m.
Created at: March 4, 2026, 7:38 p.m.