Triple

T16542407
Position Surface form Disambiguated ID Type / Status
Subject LCJ E401850 entity
Predicate associatedCityNameTransliteration P123963 FINISHED
Object Lodz NE NERFINISHED

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: Lodz | Statement: [LCJ, associatedCityNameTransliteration, Lodz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lodz
Context triple: [LCJ, associatedCityNameTransliteration, Lodz]
  • A. Łódź chosen
    Łódź is one of Poland’s largest cities, historically known as a major industrial and textile manufacturing center.
  • B. Lublin
    Lublin is a historic city in eastern Poland known as a major cultural, academic, and economic center and for its significant role in Polish political history.
  • C. Wrocław
    Wrocław is a major historic city in southwestern Poland, known for its picturesque Old Town, numerous bridges over the Oder River, and role as a cultural and academic center.
  • D. Wolsztyn
    Wolsztyn is a town in western Poland known for its historic steam locomotive depot and annual steam engine parade.
  • E. Kalisz
    Kalisz is one of Poland’s oldest cities, located in the Greater Poland region and known for its historical architecture and cultural heritage.
  • 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: associatedCityNameTransliteration
Context triple: [LCJ, associatedCityNameTransliteration, Lodz]
  • A. modernCityNameLanguage
    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. cityAssociatedWith
    Indicates that there is a notable connection or relationship between a city and another entity, such as relevance, involvement, or contextual association.
  • D. linkedCity
    Indicates that two entities are associated with each other through a specific city, such as being located in, connected via, or related by that city.
  • E. cityThenKnownAs
    Indicates that an entity had a particular city name during a specified earlier time period, before it was renamed or became known by a different name.
  • F. None of above. chosen

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.
PD Predicate disambiguation batch_69e2969fab208190ad64164d24748c45 completed April 17, 2026, 8:22 p.m.
PDg Predicate description generation batch_69e2d7f97e548190a474691a152bd8e8 completed April 18, 2026, 1:01 a.m.
Created at: April 10, 2026, 5:15 a.m.