Triple

T12378092
Position Surface form Disambiguated ID Type / Status
Subject Saint-Nicolas (Liège) E295675 entity
Predicate sharesBorderWith P224 FINISHED
Object Seraing E295664 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: Seraing | Statement: [Saint-Nicolas (Liège), sharesBorderWith, Seraing]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seraing
Context triple: [Saint-Nicolas (Liège), sharesBorderWith, Seraing]
  • A. Seraing chosen
    Seraing is an industrial city in eastern Belgium known for its steelmaking heritage and location along the Meuse River near Liège.
  • B. Boesinghe
    Boesinghe is a village in West Flanders, Belgium, known for its proximity to key World War I battlefields along the Yser Front.
  • C. Overijse
    Overijse is a municipality in the Flemish Brabant province of Belgium, known for its green residential character and extensive vineyards.
  • D. Tessenderlo
    Tessenderlo is a municipality in the Belgian province of Limburg, known for its chemical industry and location near the Albert Canal.
  • E. Ougrée
    Ougrée is a town in the Walloon region of Belgium that forms a sub-municipality of the industrial city of Seraing in the province of Liège.
  • 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_69d6ad9e653c8190b1473c860ee53dae completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d93fb8d6c081909e8bbbd52c73f29c completed April 10, 2026, 6:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62ac3c9f081909cd55f966ab6b465 completed May 2, 2026, 4:48 p.m.
Created at: April 8, 2026, 9:54 p.m.