Triple

T22565276
Position Surface form Disambiguated ID Type / Status
Subject Dwingeloo E557931 entity
Predicate hasNearbySettlement P4647 FINISHED
Object Ruinen NE NERFINISHED

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: Ruinen | Statement: [Dwingeloo, hasNearbySettlement, Ruinen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ruinen
Context triple: [Dwingeloo, hasNearbySettlement, Ruinen]
  • A. Ruinen chosen
    Ruinen is a village in the Dutch province of Drenthe, known for its rural character and proximity to the Dwingelderveld National Park.
  • B. Ruins
    "Ruins" is a song by the Swedish folk duo First Aid Kit, known for its melancholic tone and rich vocal harmonies.
  • C. Ruin
    Ruin is an upcoming survival thriller film directed by Justin Kurzel and shot by acclaimed cinematographer Ari Wegner.
  • D. Painted Ruins
    Painted Ruins is an intricately layered, experimental indie rock album by the American band Grizzly Bear, noted for its lush production and complex arrangements.
  • E. Ruined
    Ruined is a Pulitzer Prize–winning play by Lynn Nottage that explores the lives of women in a war-torn African country and the brutal impact of conflict on their bodies and communities.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e5ae4ac8190b1f503457603d969 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15fa9ebc8819098d74fb41e14bd7e completed April 29, 2026, 1:32 a.m.
Created at: April 16, 2026, 8:52 p.m.