Triple

T22414473
Position Surface form Disambiguated ID Type / Status
Subject Maashorst nature reserve E554081 entity
Predicate locatedNear P294 FINISHED
Object Oss 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: Oss | Statement: [Maashorst nature reserve, locatedNear, Oss]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oss
Context triple: [Maashorst nature reserve, locatedNear, Oss]
  • A. Oss chosen
    Oss is a municipality and industrial city in the southern Netherlands, known historically for its pharmaceutical and meat-processing industries.
  • B. Osse
    Osse is a distant, little-detailed continent in the Forgotten Realms setting, inspired by Australian and Pacific cultures and largely unexplored in official lore.
  • C. Ossi
    Ossi is a small town in the Sardinian region of Gallura in Italy, known for its traditional rural character and proximity to important archaeological sites.
  • D. Oos
    Oos is a small river in the German state of Baden-Württemberg that flows through the northern Black Forest region and the spa town of Baden-Baden.
  • E. Ossa
    Ossa is a prominent mountain in Greece, historically significant in Greek mythology and known for its dramatic landscapes.
  • 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_69e11e4e6ce8819085a1e06d886bf21c completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15945486081908eb3a7b0441c0ef1 completed April 29, 2026, 1:05 a.m.
Created at: April 16, 2026, 8:46 p.m.