Triple

T16815224
Position Surface form Disambiguated ID Type / Status
Subject Mołodeczno E408726 entity
Predicate hasNameInPolish P15778 FINISHED
Object Mołodeczno 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: Mołodeczno | Statement: [Mołodeczno, hasNameInPolish, Mołodeczno]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mołodeczno
Context triple: [Mołodeczno, hasNameInPolish, Mołodeczno]
  • A. Mołodeczno chosen
    Mołodeczno is a town in present-day Belarus that historically served as an important regional center in the former Wilno Voivodeship.
  • B. Działdowo
    Działdowo is a town in northern Poland known for its historical significance and location within the Warmian-Masurian Voivodeship.
  • C. Zułowo
    Zułowo is a village in present-day Lithuania best known as the birthplace of Józef Piłsudski, a key figure in Poland’s struggle for independence.
  • D. Szydłowiec
    Szydłowiec is a historic town in central Poland known for its well-preserved Renaissance architecture and traditional sandstone quarrying.
  • E. Grodkowo
    Grodkowo is a settlement in northern Poland located within the Warmian-Masurian Voivodeship, a region known for its lakes and natural 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_69d88394566c8190b3dcbdc72935f7fa completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b2e0e05081908bd5eaa64abe133d completed April 18, 2026, 4:35 p.m.
Created at: April 10, 2026, 5:23 a.m.