Triple

T13485549
Position Surface form Disambiguated ID Type / Status
Subject Warmond E318488 entity
Predicate waterBody P1778 FINISHED
Object Kagerplassen lake system E749645 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: Kagerplassen lake system | Statement: [Warmond, waterBody, Kagerplassen lake system]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kagerplassen lake system
Context triple: [Warmond, waterBody, Kagerplassen lake system]
  • A. Kagerplassen lake area chosen
    Kagerplassen lake area is a popular interconnected lake and waterway region in South Holland, Netherlands, known for boating, sailing, and waterside recreation.
  • B. Drevviken Lake
    Drevviken Lake is a large recreational lake in the Stockholm region of Sweden, known for its natural surroundings and opportunities for swimming, fishing, and outdoor activities.
  • C. Krøderen lake
    Krøderen lake is a long, narrow freshwater lake in Viken county, Norway, known for its scenic surroundings and role in local recreation and tourism.
  • D. Randsfjorden lake
    Randsfjorden lake is one of Norway’s largest inland lakes, known for its elongated shape, scenic surroundings, and importance for local recreation and fishing.
  • E. Brunnsviken Lake
    Brunnsviken Lake is a scenic urban lake in northern Stockholm, Sweden, known for its surrounding parks, recreational areas, and cultural landmarks.
  • 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_69d806b6bfec819089222715b2e86c8e completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaf3a15b48190b63fb59e926a97ae completed April 12, 2026, 2:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7463715dc8190a70a17b3ea661006 completed May 3, 2026, 12:57 p.m.
Created at: April 9, 2026, 9:42 p.m.