Triple

T9094466
Position Surface form Disambiguated ID Type / Status
Subject Etterbeek E217979 entity
Predicate hasNeighbour P5707 FINISHED
Object Woluwe-Saint-Lambert E205594 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: Woluwe-Saint-Lambert | Statement: [Etterbeek, hasNeighbour, Woluwe-Saint-Lambert]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Woluwe-Saint-Lambert
Context triple: [Etterbeek, hasNeighbour, Woluwe-Saint-Lambert]
  • A. Woluwe-Saint-Lambert chosen
    Woluwe-Saint-Lambert is a residential municipality in the Brussels-Capital Region of Belgium, known for its green spaces and quiet suburban character.
  • B. Saint-Lambert
    Saint-Lambert is a suburban city located on the south shore of the Saint Lawrence River opposite Montreal, known for its residential character and proximity to the metropolitan area.
  • C. Libercourt
    Libercourt is a commune in the Pas-de-Calais department in northern France, historically known as a coal-mining town.
  • D. Wattrelos
    Wattrelos is a commune in northern France near the Belgian border, known historically for its textile industry and cross-border cultural ties.
  • E. Les Breuleux
    Les Breuleux is a small Swiss municipality and village in the Jura region, known for its watchmaking tradition and rural alpine setting.
  • 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_69ca83d9844081908e561e367fda6d45 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc96b4a2e0819092f4eae8b1d21f33 completed April 1, 2026, 3:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0478fc0c4819090de2b761804166f completed April 3, 2026, 11:04 p.m.
Created at: March 30, 2026, 7:14 p.m.