Triple

T8144933
Position Surface form Disambiguated ID Type / Status
Subject Pannerdens Kanaal E190184 entity
Predicate locatedNear P294 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: [Pannerdens Kanaal, locatedNear, Arnhem]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arnhem
Context triple: [Pannerdens Kanaal, locatedNear, 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_69ca82be7ba8819087de0147e9292c83 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb4445f1948190b8d319b60dd47f65 completed March 31, 2026, 3:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc94b0fc0481909a21f42364a92158 completed April 1, 2026, 3:44 a.m.
Created at: March 30, 2026, 5:36 p.m.