Triple

T16542406
Position Surface form Disambiguated ID Type / Status
Subject LCJ E401850 entity
Predicate associatedCityNameLanguage P93060 FINISHED
Object Łódź (Polish) E15327 NE FINISHED

How this triple was built (3 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: Łódź (Polish) | Statement: [LCJ, associatedCityNameLanguage, Łódź (Polish)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Łódź (Polish)
Context triple: [LCJ, associatedCityNameLanguage, Łódź (Polish)]
  • A. Łódź chosen
    Łódź is one of Poland’s largest cities, historically known as a major industrial and textile manufacturing center.
  • B. Łódź Fabryczna
    Łódź Fabryczna is a major modern railway terminus in Łódź, Poland, serving as one of the city’s primary long-distance and regional train hubs.
  • C. Lubin
    Lubin is a town in southwestern Poland known for its copper mining industry and location within the Lower Silesian region.
  • D. Łowicz
    Łowicz is a historic town in central Poland known for its rich folk traditions, distinctive regional costumes, and baroque architecture.
  • E. Lubawa
    Lubawa is a historic town in northern Poland known for its medieval heritage and location within the Warmian-Masurian region.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: associatedCityNameLanguage
Context triple: [LCJ, associatedCityNameLanguage, Łódź (Polish)]
  • A. modernCityNameLanguage chosen
    Indicates that the modern name of a city is expressed in a particular language.
  • B. hasAssociatedCityFormerName
    Indicates that an entity is linked to a city by referencing one of that city's former or historical names.
  • C. majorCityWhereSpoken
    Indicates that a language or dialect is commonly spoken in the specified major city.
  • D. cityAssociatedWith
    Indicates that there is a notable connection or relationship between a city and another entity, such as relevance, involvement, or contextual association.
  • E. locatedInCountryCapitalLanguageContext
    Indicates that an entity is situated in a country’s capital city, within the contextual scope of a specific language.
  • F. None of above.

Provenance (4 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_69d88384bc30819084229e7dcdc39a41 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3455db6788190b929546050ea2488 completed April 18, 2026, 8:48 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0067b0e5708190a286b8a316d6efd2 completed May 10, 2026, 11:10 a.m.
PD Predicate disambiguation batch_69e2969fab208190ad64164d24748c45 completed April 17, 2026, 8:22 p.m.
Created at: April 10, 2026, 5:15 a.m.