Triple

T6158252
Position Surface form Disambiguated ID Type / Status
Subject Staszów County E137376 entity
Predicate containsAdministrativeTerritorialEntity P747 FINISHED
Object Połaniec E692648 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: Połaniec | Statement: [Staszów County, containsAdministrativeTerritorialEntity, Połaniec]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Połaniec
Context triple: [Staszów County, containsAdministrativeTerritorialEntity, Połaniec]
  • A. Pałuki
    Pałuki is a historical and ethnographic region in north-central Poland, known for its distinctive folk culture, wooden architecture, and numerous lakes.
  • B. Goleniów
    Goleniów is a town in northwestern Poland that serves as a local transport hub and gateway to the nearby regional capital Szczecin.
  • C. Łęczna
    Łęczna is a town in eastern Poland known for its location near the Lublin Coal Basin and as a local administrative and service center.
  • D. Oleśnica chosen
    Oleśnica is a village located in Busko County in the Świętokrzyskie Voivodeship of south-central Poland.
  • E. Oleśnica
    Oleśnica is a historic town in southwestern Poland known for its Renaissance castle and well-preserved old town.
  • 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_69c008a45d008190832a9e19f5d63406 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05d32ef548190bc215d052d3497fe completed March 22, 2026, 9:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69cef26fd12c819082f644bc727584ec completed April 2, 2026, 10:49 p.m.
Created at: March 22, 2026, 4:17 p.m.