Triple

T2663742
Position Surface form Disambiguated ID Type / Status
Subject Plzeň Region E54782 entity
Predicate hasISO3166-2Code P208 FINISHED
Object CZ-PL
CZ-PL is the ISO 3166-2 subdivision code assigned to the Plzeň Region of the Czech Republic.
E286691 NE FINISHED

How this triple was built (4 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: CZ-PL | Statement: [Plzeň Region, hasISO3166-2Code, CZ-PL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CZ-PL
Context triple: [Plzeň Region, hasISO3166-2Code, CZ-PL]
  • A. Polish language
    Polish language is a West Slavic language spoken primarily in Poland and by Polish communities worldwide, written in the Latin alphabet with distinctive diacritics.
  • B. .pl
    .pl is the country code top-level domain (ccTLD) assigned to websites associated with Poland.
  • C. Polish Wikiquote
    Polish Wikiquote is the Polish-language edition of Wikiquote, a free online collection of sourced quotations, proverbs, and sayings.
  • D. Płośnica
    Płośnica is a village in northern Poland located in the Warmian-Masurian Voivodeship, known for its rural character and proximity to the region’s lakes and forests.
  • E. Silesian language
    The Silesian language is a West Slavic language or dialect spoken primarily in the Silesia region of Poland and neighboring areas, characterized by features transitional between Polish, Czech, and German influences.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: CZ-PL
Triple: [Plzeň Region, hasISO3166-2Code, CZ-PL]
Generated description
CZ-PL is the ISO 3166-2 subdivision code assigned to the Plzeň Region of the Czech Republic.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: CZ-PL
Target entity description: CZ-PL is the ISO 3166-2 subdivision code assigned to the Plzeň Region of the Czech Republic.
  • A. Polish language
    Polish language is a West Slavic language spoken primarily in Poland and by Polish communities worldwide, written in the Latin alphabet with distinctive diacritics.
  • B. .pl
    .pl is the country code top-level domain (ccTLD) assigned to websites associated with Poland.
  • C. Polish Wikiquote
    Polish Wikiquote is the Polish-language edition of Wikiquote, a free online collection of sourced quotations, proverbs, and sayings.
  • D. Płośnica
    Płośnica is a village in northern Poland located in the Warmian-Masurian Voivodeship, known for its rural character and proximity to the region’s lakes and forests.
  • E. Silesian language
    The Silesian language is a West Slavic language or dialect spoken primarily in the Silesia region of Poland and neighboring areas, characterized by features transitional between Polish, Czech, and German influences.
  • F. None of above. chosen

Provenance (5 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_69ab49e028948190b97e01d73548b1d9 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd96b9f1c8190a8a9460ca88a9aaf completed March 7, 2026, 7:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69af98dc36d8819086fc739c324f0761 completed March 10, 2026, 4:06 a.m.
NEDg Description generation batch_69af9a14cda48190bd903495ce48a4f0 completed March 10, 2026, 4:12 a.m.
NED2 Entity disambiguation (via description) batch_69af9a7b27608190ba76048c4c8a4bae completed March 10, 2026, 4:13 a.m.
Created at: March 6, 2026, 9:54 p.m.