Triple

T9867061
Position Surface form Disambiguated ID Type / Status
Subject Western Finland Province E239858 entity
Predicate ISO3166-2Code P208 FINISHED
Object FI-LL
FI-LL is the ISO 3166-2 subdivision code assigned to the former Western Finland Province of Finland.
 E827023 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: FI-LL | Statement: [Western Finland Province, ISO3166-2Code, FI-LL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: FI-LL
Context triple: [Western Finland Province, ISO3166-2Code, FI-LL]
  • A. FIF
    FIF is the abbreviation for the Fife Flyers, a professional ice hockey team based in Kirkcaldy, Scotland.
  • B. FIO
    FIO is the acronym for the Federal Insurance Office, a U.S. Treasury Department agency that monitors the insurance industry and advises on national and international insurance policy.
  • C. FIAS
    FIAS is the international governing body responsible for overseeing and promoting the combat sport of sambo worldwide.
  • D. FI-02
    FI-02 is the ISO 3166-2 code that designates the region of Southwest Finland within the national subdivision system of Finland.
  • E. FI
    FI is the vehicle registration code used for the Italian city and province of Florence.
  • 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: FI-LL
Triple: [Western Finland Province, ISO3166-2Code, FI-LL]
Generated description
FI-LL is the ISO 3166-2 subdivision code assigned to the former Western Finland Province of Finland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: FI-LL
Target entity description: FI-LL is the ISO 3166-2 subdivision code assigned to the former Western Finland Province of Finland.
  • A. FIF
    FIF is the abbreviation for the Fife Flyers, a professional ice hockey team based in Kirkcaldy, Scotland.
  • B. FIO
    FIO is the acronym for the Federal Insurance Office, a U.S. Treasury Department agency that monitors the insurance industry and advises on national and international insurance policy.
  • C. FIAS
    FIAS is the international governing body responsible for overseeing and promoting the combat sport of sambo worldwide.
  • D. FI-02
    FI-02 is the ISO 3166-2 code that designates the region of Southwest Finland within the national subdivision system of Finland.
  • E. FI
    FI is the vehicle registration code used for the Italian city and province of Florence.
  • 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_69ca84e7506c819095cbde4ff16512bb completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb3d209ac8190b9bc9ff017a132da completed April 2, 2026, 12:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1e45add0481909a0416035054a563 completed April 5, 2026, 4:26 a.m.
NEDg Description generation batch_69d1e62832b081908de7872f62505f6c completed April 5, 2026, 4:33 a.m.
NED2 Entity disambiguation (via description) batch_69d1e69041e881909fc31e35e9bfc4f3 completed April 5, 2026, 4:35 a.m.
Created at: March 30, 2026, 8:36 p.m.