Triple

T11215779
Position Surface form Disambiguated ID Type / Status
Subject Drogenbos E265435 entity
Predicate sharesBorderWith P224 FINISHED
Object Sint-Pieters-Leeuw E393677 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: Sint-Pieters-Leeuw | Statement: [Drogenbos, sharesBorderWith, Sint-Pieters-Leeuw]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sint-Pieters-Leeuw
Context triple: [Drogenbos, sharesBorderWith, Sint-Pieters-Leeuw]
  • A. Sint-Pieters-Leeuw chosen
    Sint-Pieters-Leeuw is a municipality in the Belgian province of Flemish Brabant, known for its mix of suburban neighborhoods, rural landscapes, and landmarks such as the Coloma rose garden.
  • B. Lembeek
    Lembeek is a village in the Belgian municipality of Halle, located along the Senne River in the province of Flemish Brabant.
  • C. Willebroek
    Willebroek is a municipality in northern Belgium known for its canal connections and location between Brussels and Antwerp.
  • D. Borgerhout
    Borgerhout is a densely populated, multicultural district of the Belgian city of Antwerp, known for its vibrant street life and diverse communities.
  • E. Zonhoven
    Zonhoven is a municipality in the Belgian province of Limburg, known for its green surroundings and proximity to the city of Hasselt.
  • 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_69d6aac59460819089b9848b27f57848 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8e8eef48190932a85784ce15c86 completed April 9, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4ad1c57908190a5c65ea4738722e3 completed April 19, 2026, 10:23 a.m.
Created at: April 8, 2026, 9:30 p.m.