Triple

T20537050
Position Surface form Disambiguated ID Type / Status
Subject Rawa County E504226 entity
Predicate hasSettlement P1068 FINISHED
Object Podlas E57478 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: Podlas | Statement: [Rawa County, hasSettlement, Podlas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Podlas
Context triple: [Rawa County, hasSettlement, Podlas]
  • A. Podol
    Podol is the historical name of the Russian city now known as Podolsk, an industrial center near Moscow.
  • B. Pokłosie
    Pokłosie is a 2012 Polish drama film that explores the dark legacy of Polish-Jewish relations during and after World War II, known for its controversial and powerful examination of historical guilt.
  • C. Podlasie chosen
    Podlasie is a historical and ethnographic region in eastern Poland known for its cultural diversity, including a significant Belarusian minority.
  • D. Pasłęk
    Pasłęk is a historic town in northern Poland known for its medieval architecture and location within the Warmian-Masurian Voivodeship.
  • E. Polonezköy
    Polonezköy is a historic village on Istanbul’s Asian side known for its 19th-century Polish immigrant heritage, rural atmosphere, and forested surroundings.
  • 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_69e0b4b476648190bc6019622ae54d3c completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a28f2f1081908f656d790ff182ff completed April 20, 2026, 10:02 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08a566091c81908f545c6ffac06246 completed May 16, 2026, 5:12 p.m.
Created at: April 16, 2026, 11:37 a.m.