Triple

T8923668
Position Surface form Disambiguated ID Type / Status
Subject Berchem-Sainte-Agathe E212486 entity
Predicate borderedBy P224 FINISHED
Object Ganshoren E534793 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: Ganshoren | Statement: [Berchem-Sainte-Agathe, borderedBy, Ganshoren]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ganshoren
Context triple: [Berchem-Sainte-Agathe, borderedBy, Ganshoren]
  • A. Ganshoren chosen
    Ganshoren is a residential municipality in the Brussels-Capital Region of Belgium.
  • B. Gorokan
    Gorokan is a coastal suburb on the Central Coast of New South Wales, Australia, known for its residential areas and proximity to waterways and beaches.
  • C. Gorikai
    Gorikai is a central sacred text of the Japanese Konkokyo religion, containing the teachings and revelations of its founder.
  • D. Asagumo
    Asagumo was a Japanese destroyer of the Imperial Japanese Navy that saw action in World War II, including participation in major Pacific naval engagements.
  • E. Gatokae
    Gatokae is a volcanic island in the New Georgia Islands group of the Solomon Islands, known for its rugged terrain, surrounding coral reefs, and traditional villages.
  • 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_69ca839481d48190b42b037e0d0f636c completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6652d63881908821c8735984322a completed April 1, 2026, 12:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfba5480d48190bf126caaa882d39e completed April 3, 2026, 1:02 p.m.
Created at: March 30, 2026, 6:56 p.m.