Triple

T20974279
Position Surface form Disambiguated ID Type / Status
Subject river Maas E516582 entity
Predicate hasMajorTributary P415 FINISHED
Object Geul 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: Geul | Statement: [river Maas, hasMajorTributary, Geul]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Geul
Context triple: [river Maas, hasMajorTributary, Geul]
  • A. Geul chosen
    The Geul is a small river in the southeastern Netherlands and eastern Belgium, known for flowing through the hilly Limburg landscape and picturesque villages before joining the Meuse.
  • B. Geul River
    The Geul River is a small, winding river in the southeastern Netherlands and eastern Belgium, known for its scenic valleys, historic watermills, and role in shaping the hilly landscape of South Limburg.
  • C. Waal
    The Waal is a major distributary branch of the Rhine River in the Netherlands, serving as an important waterway for shipping and part of the country’s main river system.
  • D. Vriescheloo
    Vriescheloo is a small village in the province of Groningen in the Netherlands, known for its rural character and historic ribbon-shaped settlement pattern.
  • E. Dommel
    The Dommel is a river in the southern Netherlands and northern Belgium that flows through cities including Eindhoven before joining the Dieze.
  • 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_69e0b4fee5ac8190875fa9ceba1a5e5e completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6fba307d88190b728544d1b6d0bb6 completed April 21, 2026, 4:22 a.m.
Created at: April 16, 2026, 1:46 p.m.