Triple

T7190819
Position Surface form Disambiguated ID Type / Status
Subject IJssel E167684 entity
Predicate flowsThrough P225 FINISHED
Object Arnhem E12070 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: Arnhem | Statement: [IJssel, flowsThrough, Arnhem]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arnhem
Context triple: [IJssel, flowsThrough, Arnhem]
  • A. Arnhem chosen
    Arnhem is a city in the eastern Netherlands best known as the site of a major World War II battle during Operation Market Garden.
  • B. Geldrop-Mierlo
    Geldrop-Mierlo is a municipality in the province of North Brabant in the southern Netherlands, known for its residential communities and proximity to the city of Eindhoven.
  • C. Leeuwarden
    Leeuwarden is a historic city in the northern Netherlands, known as the capital of the province of Friesland and for its rich cultural and architectural heritage.
  • D. Roermond
    Roermond is a historic city in the southeastern Netherlands known for its medieval architecture, prominent churches, and large designer outlet shopping center.
  • E. Papendrecht
    Papendrecht is a Dutch town situated on the river Merwede in the province of South Holland, known for its residential character and proximity to the city of Dordrecht.
  • 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_69c6888b5248819090499a884ee3ec39 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e90087208190a65e49ae0e8a7cbf completed March 27, 2026, 8:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7b95c671c8190bf75b5807c6c320c completed March 28, 2026, 11:19 a.m.
Created at: March 27, 2026, 2:50 p.m.