Triple

T8553300
Position Surface form Disambiguated ID Type / Status
Subject ulica Belwederska E202498 entity
Predicate locatedInDistrict P40 FINISHED
Object Mokotów, Warsaw E262769 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: Mokotów, Warsaw | Statement: [ulica Belwederska, locatedInDistrict, Mokotów, Warsaw]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mokotów, Warsaw
Context triple: [ulica Belwederska, locatedInDistrict, Mokotów, Warsaw]
  • A. Mokotów chosen
    Mokotów is a large, centrally located district of Warsaw known for its residential neighborhoods, parks, and business centers.
  • B. Ujazdów
    Ujazdów is a historic neighborhood in central Warsaw, known for its palaces, government buildings, and extensive green areas including parks and gardens.
  • C. Śródmieście, Warsaw
    Śródmieście, Warsaw is the central district of Poland’s capital city, encompassing its historic core, major government institutions, and key cultural and commercial areas.
  • D. Okęcie
    Okęcie is a district in Warsaw, Poland, best known for hosting the city’s main international airport and various aviation-related facilities.
  • E. Wola Okrzejska
    Wola Okrzejska is a village in eastern Poland best known as the birthplace of Nobel Prize–winning novelist Henryk Sienkiewicz.
  • 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_69ca832610e08190b3b6c6cd2c250255 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe8882704819094b688d46169433a completed March 31, 2026, 3:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce892efdf8819093c966bd8f6c8065 completed April 2, 2026, 3:20 p.m.
Created at: March 30, 2026, 6:19 p.m.