Triple

T4248303
Position Surface form Disambiguated ID Type / Status
Subject Slovenian Littoral E95581 entity
Predicate contains P35 FINISHED
Object Karst Plateau E165775 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: Karst Plateau | Statement: [Slovenian Littoral, contains, Karst Plateau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karst Plateau
Context triple: [Slovenian Littoral, contains, Karst Plateau]
  • A. Karst Plateau chosen
    The Karst Plateau is a limestone-rich upland region in northeastern Italy and southwestern Slovenia, famous for its dramatic sinkholes, caves, and other karstic landforms that gave their name to karst topography worldwide.
  • B. Roztocze plateau
    The Roztocze plateau is a picturesque upland region in southeastern Poland known for its rolling hills, forests, and protected natural landscapes.
  • C. Dransfeld plateau
    The Dransfeld plateau is a hilly upland region in Lower Saxony, Germany, characterized by its forested landscapes and rural settlements.
  • D. Kaiparowits Plateau
    Kaiparowits Plateau is a remote, high-elevation mesa complex in southern Utah known for its rugged canyons, rich dinosaur fossil beds, and inclusion within Grand Staircase–Escalante National Monument.
  • E. Plateau
    Plateau is the central business district of Abidjan, known for its concentration of government institutions, corporate headquarters, and modern high-rise buildings.
  • 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_69b3453d91548190b4d4ef8fe52aa2ac completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34e9cb71481909b4baa370193148f completed March 12, 2026, 11:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5a87c033881908e0cf9fdfecaf36a completed March 14, 2026, 6:27 p.m.
Created at: March 12, 2026, 11:06 p.m.