Triple

T18782738
Position Surface form Disambiguated ID Type / Status
Subject Hartel Canal near Spijkenisse E459298 entity
Predicate locatedNear P294 FINISHED
Object Spijkenisse 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: Spijkenisse | Statement: [Hartel Canal near Spijkenisse, locatedNear, Spijkenisse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Spijkenisse
Context triple: [Hartel Canal near Spijkenisse, locatedNear, Spijkenisse]
  • A. Spijkenisse chosen
    Spijkenisse is a town and former municipality in the western Netherlands, now part of the municipality of Nissewaard and known as a suburban area near Rotterdam.
  • B. Sparnacien
    Sparnacien is the French demonym for an inhabitant of the town of Épernay in the Champagne region.
  • C. Winkel van Sinkel
    Winkel van Sinkel is a historic former department store and cultural landmark in the center of Utrecht, Netherlands, now used as a venue for events, dining, and nightlife.
  • D. Spicheren
    Spicheren is a commune in northeastern France near the German border, historically notable as the site of a major battle in the Franco-Prussian War.
  • E. Zesgehuchten
    Zesgehuchten was a former village and municipality in the Dutch province of North Brabant, now part of the city of Geldrop-Mierlo.
  • 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_69d8d396f54c8190ba49db31e8743842 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5977d7c5c8190ab2aadb47283965d completed April 20, 2026, 3:03 a.m.
Created at: April 10, 2026, 11:52 a.m.