Triple

T21205517
Position Surface form Disambiguated ID Type / Status
Subject Georgsmarienhütte E522566 entity
Predicate hasRiver P165 FINISHED
Object Düte NE NERFINISHED

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: Düte | Statement: [Georgsmarienhütte, hasRiver, Düte]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Düte
Context triple: [Georgsmarienhütte, hasRiver, Düte]
  • A. Düte chosen
    Düte is a small river in Lower Saxony, Germany, that flows through the town of Bad Iburg and its surrounding region.
  • B. Dergano
    Dergano is a metro station in Milan, Italy, serving the Dergano district on the city’s underground network.
  • C. Diraz
    Diraz is a village in Bahrain known for its predominantly Shia population and historic religious and cultural significance.
  • D. Tegüder
    Tegüder (also known as Ahmad Tegüder) was a 13th-century Ilkhanid ruler of Persia who converted to Islam and briefly reigned as a Mongol khan.
  • E. Drehu
    Drehu is an Austronesian language spoken primarily by the indigenous population of Lifou Island in New Caledonia.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b5112d8881909510b2dcdc93106d completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e734342e9081909e241bed54dbc0b4 completed April 21, 2026, 8:24 a.m.
Created at: April 16, 2026, 3:20 p.m.