Triple

T3553690
Position Surface form Disambiguated ID Type / Status
Subject Salzgitter E75169 entity
Predicate hasRiver P165 FINISHED
Object Fuhse E171019 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: Fuhse | Statement: [Salzgitter, hasRiver, Fuhse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fuhse
Context triple: [Salzgitter, hasRiver, Fuhse]
  • A. Fuhse chosen
    Fuhse is a river in Lower Saxony, Germany, that flows through several towns before joining the Aller River.
  • B. Fuchs
    Fuchs is a German surname borne by numerous notable individuals across fields such as science, politics, and the arts.
  • C. Foege
    Foege is the surname of William H. Foege, an American epidemiologist renowned for his pivotal role in the global eradication of smallpox.
  • D. Hufschlag
    Hufschlag is a small district of Traunstein in Bavaria, Germany, known as part of the rural setting where Pope Benedict XVI (Joseph Ratzinger) spent part of his childhood.
  • E. Sauer
    Sauer is a German surname borne by various notable individuals in fields such as science, politics, and the arts.
  • 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_69ad85d33c6c819081d5ac1df13b5680 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc05394888190b59fafda97b49beb completed March 8, 2026, 6:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69b38beef8b4819090109ab89e9671d6 completed March 13, 2026, 4 a.m.
Created at: March 8, 2026, 3:20 p.m.