Triple

T21668939
Position Surface form Disambiguated ID Type / Status
Subject Ganshoren E534793 entity
Predicate hasOfficialNameInFrench P6538 FINISHED
Object Ganshoren 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: Ganshoren | Statement: [Ganshoren, hasOfficialNameInFrench, Ganshoren]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ganshoren
Context triple: [Ganshoren, hasOfficialNameInFrench, 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. Gashin
    Gashin are household deities in Korean mythology that protect various aspects of the home and family life.
  • D. Gonzen
    Gonzen is a prominent mountain in the Swiss canton of St. Gallen, overlooking the Rhine Valley near Sargans and popular for hiking and climbing.
  • E. Gorikai
    Gorikai is a central sacred text of the Japanese Konkokyo religion, containing the teachings and revelations of its founder.
  • 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_69e0c46898008190aa618a4af55bd1ee completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef6c0e008c8190a549d275b1c98e0b completed April 27, 2026, 2 p.m.
Created at: April 16, 2026, 6:37 p.m.