Triple

T6689948
Position Surface form Disambiguated ID Type / Status
Subject Luxembourg Square E152598 entity
Predicate locatedIn P40 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: [Luxembourg Square, locatedIn, Ixelles]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ixelles
Context triple: [Luxembourg Square, locatedIn, 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_69c6880687b08190805278b504d1c92c completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6b15149408190ac679d037d87cba7 completed March 27, 2026, 4:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69c748994250819092ba9bf4fd3f5b90 completed March 28, 2026, 3:18 a.m.
Created at: March 27, 2026, 2:04 p.m.