Triple

T13367242
Position Surface form Disambiguated ID Type / Status
Subject Forest, Belgium E318970 entity
Predicate borders P224 FINISHED
Object Ixelles E140988 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: Ixelles | Statement: [Forest, Belgium, borders, Ixelles]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ixelles
Context triple: [Forest, Belgium, borders, Ixelles]
  • A. Ixelles chosen
    Ixelles is a vibrant, multicultural municipality of the Brussels-Capital Region in Belgium, known for its Art Nouveau architecture, lively student population, and cultural institutions.
  • B. Etterbeek
    Etterbeek is a municipality in the Brussels-Capital Region of Belgium, known for its European Union institutions, urban character, and proximity to central Brussels.
  • C. Laeken
    Laeken is a residential district in the north of Brussels, Belgium, known for its royal palace, extensive parks, and role as the traditional home of the Belgian monarchy.
  • D. Tervuren
    Tervuren is a municipality in Flemish Brabant, Belgium, known for its historic park, royal connections, and the Royal Museum for Central Africa.
  • E. Auderghem
    Auderghem is a residential municipality in the southeastern part of the Brussels-Capital Region in Belgium, known for its green spaces and proximity to major European institutions.
  • 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_69d806b7bbac8190b85278c87fa7aff3 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dadcd652d48190a782fd1f57f34b6a completed April 11, 2026, 11:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f72680df088190b8dbcc8ad0d7366e completed May 3, 2026, 10:42 a.m.
Created at: April 9, 2026, 9:32 p.m.