Triple

T22868654
Position Surface form Disambiguated ID Type / Status
Subject Mordechaja Anielewicza Street E567125 entity
Predicate partOf P40 FINISHED
Object Muranów 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: Muranów | Statement: [Mordechaja Anielewicza Street, partOf, Muranów]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Muranów
Context triple: [Mordechaja Anielewicza Street, partOf, Muranów]
  • A. Muranów chosen
    Muranów is a central Warsaw neighborhood known for its postwar reconstruction, historical Jewish heritage, and proximity to major transport hubs and cultural institutions.
  • B. Mikołów
    Mikołów is a historic town in southern Poland known for its traditional Silesian character and proximity to the regional capital, Katowice.
  • C. Młociny
    Młociny is a northern Warsaw neighborhood best known as the terminus of the city’s M1 metro line and a major transport hub.
  • D. Kromołów
    Kromołów is a historic district of the city of Zawiercie in southern Poland, known as the place where the Warta River begins.
  • E. Maruszyna
    Maruszyna is a village in southern Poland, located in the Lesser Poland Voivodeship within Nowy Targ County.
  • 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_69e24589d8348190b96422d13a678bc1 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17f02c8b8819095cbee626f935fed completed April 29, 2026, 3:46 a.m.
Created at: April 17, 2026, 3:38 p.m.