Triple

T8177708
Position Surface form Disambiguated ID Type / Status
Subject Basovizza E190978 entity
Predicate locatedOn P40 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: [Basovizza, locatedOn, Karst Plateau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karst Plateau
Context triple: [Basovizza, locatedOn, 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. Tsalka Plateau
    Tsalka Plateau is a high volcanic plateau in southern Georgia known for its rugged terrain, cool climate, and numerous lakes and reservoirs.
  • E. Dreiborn Plateau
    Dreiborn Plateau is a high, open upland area in Germany’s Eifel region known for its expansive grasslands, former military training grounds, and rich biodiversity within Eifel National Park.
  • 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_69ca82c4538081909404325aa5639483 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb4abb66bc81908d758c7af2e23ac6 completed March 31, 2026, 4:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccbf7f02d08190a6cedc37b64a0d9e completed April 1, 2026, 6:47 a.m.
Created at: March 30, 2026, 5:40 p.m.