Triple

T12063051
Position Surface form Disambiguated ID Type / Status
Subject Opole Voivodeship E287221 entity
Predicate containsCity P294 FINISHED
Object Strzelce Opolskie E609097 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: Strzelce Opolskie | Statement: [Opole Voivodeship, containsCity, Strzelce Opolskie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Strzelce Opolskie
Context triple: [Opole Voivodeship, containsCity, Strzelce Opolskie]
  • A. Strzelce Opolskie chosen
    Strzelce Opolskie is a historic town in southern Poland known for its medieval origins, regional administrative role, and location within the Opole region of Upper Silesia.
  • B. Strzelno
    Strzelno is a town in north-central Poland best known as the birthplace of Nobel Prize–winning physicist Albert A. Michelson.
  • C. Strzelin
    Strzelin is a historic town in southwestern Poland’s Lower Silesian region, known for its medieval origins and granite quarrying industry.
  • D. Ciechocinek
    Ciechocinek is a Polish spa town renowned for its historic saline graduation towers and therapeutic health resorts.
  • E. Koprzywnica
    Koprzywnica is a small town in southeastern Poland known for its historic Cistercian monastery and location within the Świętokrzyskie Voivodeship.
  • 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_69d6ab4846e081908ee7bbd66a6d3459 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9043f82248190b05692aa0dc178a8 completed April 10, 2026, 2:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f654eb1881908d656009f1362ecf completed May 2, 2026, 1:04 p.m.
Created at: April 8, 2026, 9:48 p.m.