Triple

T15947288
Position Surface form Disambiguated ID Type / Status
Subject Olsztynek E386716 entity
Predicate hasRailConnectionTo P848 FINISHED
Object Nidzica E220536 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: Nidzica | Statement: [Olsztynek, hasRailConnectionTo, Nidzica]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nidzica
Context triple: [Olsztynek, hasRailConnectionTo, Nidzica]
  • A. Nidzica chosen
    Nidzica is a historic town in northern Poland known for its well-preserved medieval Teutonic castle and picturesque surroundings.
  • B. Pecica
    Pecica is a town in western Romania known for its archaeological sites and proximity to the Mureș River near the Hungarian border.
  • C. Njivice
    Njivice is a coastal resort town and tourist destination on the island of Krk in Croatia, known for its beaches and seaside promenade.
  • D. Brda
    Brda is a river in northern Poland that flows through the Pomeranian region and is known for its scenic landscapes and popular kayaking routes.
  • E. Brda
    Brda is a picturesque wine-growing municipality in western Slovenia, renowned for its rolling hills, vineyards, and traditional villages near the Italian border.
  • 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_69d86da882448190a82ea962fe343b79 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156d2fda8819085279d2a0f8a02ab completed April 16, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffbe76df6481909f8246099faa377a completed May 9, 2026, 11:08 p.m.
Created at: April 10, 2026, 4:53 a.m.