Triple

T15053979
Position Surface form Disambiguated ID Type / Status
Subject Vasiliy Fet E379438 entity
Predicate alliesWith P435 FINISHED
Object Dutch Velders E731017 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 Velders | Statement: [Vasiliy Fet, alliesWith, Dutch Velders]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dutch Velders
Context triple: [Vasiliy Fet, alliesWith, Dutch Velders]
  • A. Dutch Velders chosen
    Dutch Velders is a skilled hacker and key member of the human resistance against vampires in the horror drama series "The Strain."
  • B. Gelderlander
    Gelderlander is a regional Dutch newspaper based in the province of Gelderland.
  • C. Niederlauer
    Niederlauer is a small municipality in northern Bavaria, Germany, situated in the Franconian Saale valley and known for its rural character within the Rhön region.
  • D. Dutch Campine
    Dutch Campine is a sparsely populated heath and sandy region in the southeastern Netherlands, known for its natural landscapes and cross-border continuity with the Belgian Kempen.
  • E. Nederboelare
    Nederboelare is a village and sub-municipality of the city of Geraardsbergen in the Flemish region of Belgium.
  • 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_69d85cd64d108190853797a95c11cc45 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69deda92091c81909180f486edf01405 completed April 15, 2026, 12:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69fea5bdeee48190949b0fe63eb6a21a completed May 9, 2026, 3:10 a.m.
Created at: April 10, 2026, 3:01 a.m.