Triple

T16408756
Position Surface form Disambiguated ID Type / Status
Subject Krefeld E398502 entity
Predicate hasDistrict P459 FINISHED
Object Oppum E191566 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: Oppum | Statement: [Krefeld, hasDistrict, Oppum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oppum
Context triple: [Krefeld, hasDistrict, Oppum]
  • A. Oppum chosen
    Oppum is a district of the German city of Krefeld in the state of North Rhine-Westphalia.
  • B. Ommen
    Ommen is a small historic town and municipality in the Dutch province of Overijssel, known for its scenic river landscapes and tourism.
  • C. Kummi
    Kummi is a traditional Tamil folk dance performed in a circle, typically by women clapping rhythmically and singing during festivals and communal celebrations.
  • D. Opia
    Opia is a British-Nigerian actress and entrepreneur best known for her role in the acclaimed television series "I May Destroy You."
  • E. Pienaar
    Pienaar is a South African surname most famously associated with Francois Pienaar, the former Springbok rugby captain who led South Africa to victory in the 1995 Rugby World Cup.
  • 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_69d87f2950248190bc8ad9b9bebdc8c8 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32870e44c8190aae7bc6e6022ceb7 completed April 18, 2026, 6:45 a.m.
NED1 Entity disambiguation (via context triple) batch_6a003c64a05c8190a59e800ce2318052 completed May 10, 2026, 8:05 a.m.
Created at: April 10, 2026, 5:09 a.m.