Triple

T9766256
Position Surface form Disambiguated ID Type / Status
Subject Betuwe E236999 entity
Predicate partOf P40 FINISHED
Object Dutch River Area E542875 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: Dutch River Area | Statement: [Betuwe, partOf, Dutch River Area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dutch River Area
Context triple: [Betuwe, partOf, Dutch River Area]
  • A. Dutch River Area chosen
    The Dutch River Area is a region in the Netherlands characterized by its river landscapes, dikes, and historic villages situated between major Dutch rivers.
  • B. Tapanahony River area
    The Tapanahony River area is a remote region of eastern Suriname characterized by dense rainforest and riverine communities, including many Ndyuka Maroon settlements.
  • C. Fehér (White) River region
    The Fehér (White) River region is a historical area in western Hungary whose river and surrounding landscape gave their name to Fejér County.
  • D. Spree River region
    The Spree River region is an area in northeastern Germany characterized by the course and surrounding landscapes of the Spree River, including urban, industrial, and natural environments.
  • E. Ken River Valley
    Ken River Valley is a scenic river valley region in central India known for its rugged landscapes, gorges, and rich biodiversity along the course of the Ken River.
  • 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_69ca84d831b8819090322686b47887ce completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda0a15e408190909745cb1c30937d completed April 1, 2026, 10:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1bcf965e88190b505ce160f77e9b7 completed April 5, 2026, 1:38 a.m.
Created at: March 30, 2026, 8:25 p.m.