Triple

T8794360
Position Surface form Disambiguated ID Type / Status
Subject Rijpwetering E209249 entity
Predicate locatedNear P294 FINISHED
Object Kaag E205057 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: Kaag | Statement: [Rijpwetering, locatedNear, Kaag]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kaag
Context triple: [Rijpwetering, locatedNear, Kaag]
  • A. Kaag chosen
    Kaag is a small Dutch village in South Holland known for its island setting in the Kagerplassen lake area and its traditional water sports and boating culture.
  • B. Kaiten
    Kaiten was a Japanese warship that took part in the late-19th-century Boshin War naval engagements, including the Battle of Hakodate.
  • C. Kasagi
    Kasagi is a small town in Kyoto Prefecture, Japan, known for its scenic river landscapes and historic temples.
  • D. Kogarah
    Kogarah is a suburb in southern Sydney, New South Wales, Australia, known as a residential and commercial hub in the St George area.
  • E. Kashta
    Kashta was a Kushite king of Nubia in the 8th century BCE who began the expansion into Egypt that his successors, including Shabaka, would complete.
  • 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_69ca836240888190a62b262e56a69d2f completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5f9f0ff48190a8ff3c7447833849 completed March 31, 2026, 11:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf6f532ed48190a21996f865428831 completed April 3, 2026, 7:42 a.m.
Created at: March 30, 2026, 6:43 p.m.