Triple

T16504057
Position Surface form Disambiguated ID Type / Status
Subject Güstrow E400875 entity
Predicate locatedOnRiver P165 FINISHED
Object Nebel E847222 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: Nebel | Statement: [Güstrow, locatedOnRiver, Nebel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nebel
Context triple: [Güstrow, locatedOnRiver, Nebel]
  • A. Nebel
    Nebel is a small river in Bavaria, Germany, known for its strategic role as part of the battlefield terrain during the 1704 Battle of Blenheim in the War of the Spanish Succession.
  • B. Nebel chosen
    Nebel is a small, picturesque village on the North Sea island of Amrum in Germany, known for its traditional thatched houses and coastal scenery.
  • C. Nebelstein
    Nebelstein is a prominent mountain in Lower Austria known as the highest elevation in the Waldviertel region and a popular destination for hiking and nature tourism.
  • D. Nebbi
    Nebbi is a town in northwestern Uganda that serves as an important local administrative and commercial center near the border with the Democratic Republic of the Congo.
  • E. Niebla
    Niebla is a landmark 1914 novel by Spanish writer Miguel de Unamuno that blends fiction and philosophy in a metafictional exploration of identity, free will, and the nature of literary creation.
  • 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_69d88381f6148190819958a038be990e completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32e5100e48190a623d6ee2fefb87e completed April 18, 2026, 7:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0058305e308190a22cbd03daec53aa completed May 10, 2026, 10:04 a.m.
Created at: April 10, 2026, 5:14 a.m.