Triple

T9190021
Position Surface form Disambiguated ID Type / Status
Subject Wielbark E220557 entity
Predicate nearbyCity P350 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: [Wielbark, nearbyCity, Nidzica]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nidzica
Context triple: [Wielbark, nearbyCity, Nidzica]
  • A. Nidzica chosen
    Nidzica is a historic town in northern Poland known for its well-preserved medieval Teutonic castle and picturesque surroundings.
  • B. Njivice
    Njivice is a coastal resort town and tourist destination on the island of Krk in Croatia, known for its beaches and seaside promenade.
  • C. 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.
  • D. Brda
    Brda is a picturesque wine-growing municipality in western Slovenia, renowned for its rolling hills, vineyards, and traditional villages near the Italian border.
  • E. Bóbrka
    Bóbrka is a village in southeastern Poland historically significant as one of the birthplaces of the modern oil industry.
  • 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_69ca83e6d77c81909862b7afef56b1bf completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccd5bd8c5c81909d0cdbcd7410fcee completed April 1, 2026, 8:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69d05c272f508190aade1769c88cf16d completed April 4, 2026, 12:32 a.m.
Created at: March 30, 2026, 7:24 p.m.