Triple

T8956458
Position Surface form Disambiguated ID Type / Status
Subject Uccle E213481 entity
Predicate locatedNear P294 FINISHED
Object Linkebeek E665330 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: Linkebeek | Statement: [Uccle, locatedNear, Linkebeek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Linkebeek
Context triple: [Uccle, locatedNear, Linkebeek]
  • A. Linkebeek chosen
    Linkebeek is a small Flemish municipality in the Belgian province of Flemish Brabant, located just south of Brussels.
  • B. Borsbeek
    Borsbeek is a small municipality in the Belgian province of Antwerp, known for its suburban character and proximity to the city of Antwerp.
  • C. Diepenbeek
    Diepenbeek is a municipality in the Belgian province of Limburg, known for its blend of residential areas, industry, and the campus of Hasselt University.
  • D. Lembeek
    Lembeek is a village in the Belgian municipality of Halle, located along the Senne River in the province of Flemish Brabant.
  • E. Sterrebeek
    Sterrebeek is a residential village in the Flemish Brabant province of Belgium, situated just east of Brussels and known for its green surroundings and proximity to the capital.
  • 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_69ca8399ad2081909f8fa41d4314c215 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6728965881908e9f14aaee0c5a18 completed April 1, 2026, 12:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69d10776e8e88190a4433e42a3b55f38 completed April 4, 2026, 12:43 p.m.
Created at: March 30, 2026, 7 p.m.