Triple

T17286642
Position Surface form Disambiguated ID Type / Status
Subject Veluws Nedersaksisch E419670 entity
Predicate hasAlternativeName P39 FINISHED
Object Veluws E86538 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: Veluws | Statement: [Veluws Nedersaksisch, hasAlternativeName, Veluws]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Veluws
Context triple: [Veluws Nedersaksisch, hasAlternativeName, Veluws]
  • A. Veluws chosen
    Veluws is a Dutch Low Saxon dialect spoken in the Veluwe region of the Netherlands, closely related to other eastern Dutch dialects such as Achterhooks.
  • B. Hoornaar
    Hoornaar is a village in the Dutch province of South Holland, known for its rural character and traditional polder landscape.
  • C. Alvier
    Alvier is a prominent mountain peak in the Churfirsten range of the Swiss Alps, known for its scenic hiking routes and panoramic views.
  • D. Rasos
    Rasos is a traditional Lithuanian midsummer festival rooted in ancient pagan solstice celebrations, marked by bonfires, rituals, and folk customs.
  • E. Havu
    Havu are a Bantu-speaking ethnic group primarily inhabiting the Lake Kivu region of eastern Democratic Republic of the Congo, known for their farming, fishing, and rich cultural traditions.
  • 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_69d886db32608190a61e18862c5a8af6 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e4378024988190aac6aec006f8f7a1 completed April 19, 2026, 2:01 a.m.
NED1 Entity disambiguation (via context triple) batch_6a017955448481909c2464a14c2a9799 completed May 11, 2026, 6:38 a.m.
Created at: April 10, 2026, 5:40 a.m.