Triple

T19720859
Position Surface form Disambiguated ID Type / Status
Subject Groningen E473602 entity
Predicate hasCanal P35 FINISHED
Object Reitdiep 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: Reitdiep | Statement: [Groningen, hasCanal, Reitdiep]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Reitdiep
Context triple: [Groningen, hasCanal, Reitdiep]
  • A. Reitdiep chosen
    Reitdiep is a historic canalized river in the province of Groningen in the Netherlands, known for its scenic landscapes and colorful waterfront houses near the city of Groningen.
  • B. Oosterdiep
    Oosterdiep is a historic canal in the Dutch province of Groningen, associated with the town of Veendam and its peat and shipping heritage.
  • C. Winschoterdiep
    Winschoterdiep is a major canal in the province of Groningen in the Netherlands, serving as an important waterway for regional transport and drainage.
  • D. Wildervanksterdiep
    Wildervanksterdiep is a historic canal in the Dutch province of Groningen, known for its role in regional peat extraction and the development of the village of Wildervank.
  • E. Sappemeer
    Sappemeer is a town in the province of Groningen in the northeastern Netherlands, historically known for its peat colonies and waterways.
  • 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_69d8e516dd048190a0b6c93ea3e71f58 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e649f483c481908c6b3114bf9c5934 completed April 20, 2026, 3:44 p.m.
Created at: April 10, 2026, 1:46 p.m.