Triple

T4875992
Position Surface form Disambiguated ID Type / Status
Subject Łódź Voivodeship E109204 entity
Predicate containsCityCounty P54716 FINISHED
Object Łódź 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 | Statement: [Łódź Voivodeship, containsCityCounty, Łódź]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Łódź
Context triple: [Łódź Voivodeship, containsCityCounty, Łódź]
  • 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. Kalisz
    Kalisz is one of Poland’s oldest cities, located in the Greater Poland region and known for its historical architecture and cultural heritage.
  • E. Radom
    Radom is a city in central Poland known as an important regional industrial and cultural center.
  • 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: containsCityCounty
Context triple: [Łódź Voivodeship, containsCityCounty, Łódź]
  • A. includesCounty
    Indicates that a larger geographic or administrative region contains or encompasses a specific county within its boundaries.
  • B. hasCountyLevelCity
    Indicates that an entity (typically a region or province) includes or administers one or more cities that hold county-level administrative status.
  • C. isInCountySeatOf
    Indicates that one entity is located within the town or city that serves as the administrative center (county seat) of a specified county.
  • D. hasCountyCode
    Indicates that an entity is associated with a specific county identified by a standardized county code.
  • E. containsCityOrBorough chosen
    Indicates that a geographic or administrative area includes, within its boundaries, a specific city or borough.
  • 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_69bd440e9d64819083e82cf33b4d9570 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6ff981fc819080d4466c6fe06cf3 completed March 20, 2026, 4:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69c9bcbe7f488190aee034a51e8a281b completed March 29, 2026, 11:58 p.m.
PD Predicate disambiguation batch_69bd6c28e56081908ee411ac94c3769e completed March 20, 2026, 3:47 p.m.
Created at: March 20, 2026, 1:27 p.m.