Triple

T16689157
Position Surface form Disambiguated ID Type / Status
Subject Nowy Dwór Mazowiecki E405547 entity
Predicate isSeatOf P62 FINISHED
Object Nowy Dwór County 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: Nowy Dwór County | Statement: [Nowy Dwór Mazowiecki, isSeatOf, Nowy Dwór County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nowy Dwór County
Context triple: [Nowy Dwór Mazowiecki, isSeatOf, Nowy Dwór County]
  • A. Nowy Dwór County chosen
    Nowy Dwór County is an administrative district in the Masovian Voivodeship of east-central Poland, encompassing several towns and rural areas northwest of Warsaw.
  • B. Zawichost County
    Zawichost County was a historical administrative district in the Sandomierz region of Poland, centered on the town of Zawichost.
  • C. Wołów County
    Wołów County is an administrative district in southwestern Poland’s Lower Silesian Voivodeship, encompassing towns such as Wołów and Brzeg Dolny.
  • D. Szydłowiec County
    Szydłowiec County is an administrative district (powiat) in the Masovian Voivodeship of east-central Poland, centered around the town of Szydłowiec.
  • E. Skarżysko County
    Skarżysko County is an administrative district in south-central Poland, centered around the town of Skarżysko-Kamienna and known for its mix of industrial areas and surrounding forests.
  • 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_69d8838c28748190b3f5967c743940ab completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37ea80d88819091fc61ed3c01955a completed April 18, 2026, 12:52 p.m.
Created at: April 10, 2026, 5:19 a.m.