Triple

T9064251
Position Surface form Disambiguated ID Type / Status
Subject Egentliga Finland E217202 entity
Predicate ISOCode P208 FINISHED
Object FI-19
FI-19 is the ISO 3166-2 regional code for Southwest Finland (Egentliga Finland), an administrative region in southwestern Finland.
E777389 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-19 | Statement: [Egentliga Finland, ISOCode, FI-19]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FI-19
Context triple: [Egentliga Finland, ISOCode, FI-19]
  • A. Firkovich B19A
    Firkovich B19A is the archival shelfmark assigned to the Leningrad Codex, the oldest complete manuscript of the Hebrew Bible in Hebrew.
  • B. IAR 99 Șoim
    The IAR 99 Șoim is a Romanian-designed advanced jet trainer and light attack aircraft used primarily for pilot training and close air support missions.
  • C. Swift F.1
    The Swift F.1 was an early production variant of the British Supermarine Swift jet fighter, used briefly by the Royal Air Force in the 1950s.
  • D. Fiat G.91 PAN
    The Fiat G.91 PAN is an Italian jet trainer and light attack aircraft variant specially modified for aerobatic display, most famously used by the Frecce Tricolori demonstration team.
  • E. F-11
    F-11 is the station code assigned to Nishi-Waseda Station on Tokyo Metro’s Fukutoshin Line in Tokyo, Japan.
  • 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-19
Triple: [Egentliga Finland, ISOCode, FI-19]
Generated description
FI-19 is the ISO 3166-2 regional code for Southwest Finland (Egentliga Finland), an administrative region in southwestern Finland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: FI-19
Target entity description: FI-19 is the ISO 3166-2 regional code for Southwest Finland (Egentliga Finland), an administrative region in southwestern Finland.
  • A. Firkovich B19A
    Firkovich B19A is the archival shelfmark assigned to the Leningrad Codex, the oldest complete manuscript of the Hebrew Bible in Hebrew.
  • B. IAR 99 Șoim
    The IAR 99 Șoim is a Romanian-designed advanced jet trainer and light attack aircraft used primarily for pilot training and close air support missions.
  • C. Swift F.1
    The Swift F.1 was an early production variant of the British Supermarine Swift jet fighter, used briefly by the Royal Air Force in the 1950s.
  • D. Fiat G.91 PAN
    The Fiat G.91 PAN is an Italian jet trainer and light attack aircraft variant specially modified for aerobatic display, most famously used by the Frecce Tricolori demonstration team.
  • E. F-11
    F-11 is the station code assigned to Nishi-Waseda Station on Tokyo Metro’s Fukutoshin Line in Tokyo, Japan.
  • 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_69ca83d5a7f48190b16c1e59bd43ede0 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc94bb26588190b7d6f2d70819e86f completed April 1, 2026, 3:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69d01798a79081909885a8e61bf04dc3 completed April 3, 2026, 7:40 p.m.
NEDg Description generation batch_69d01963aac881909a4890948f7b7c1c completed April 3, 2026, 7:47 p.m.
NED2 Entity disambiguation (via description) batch_69d019f55a6c8190b7065c0dcb5bb1d9 completed April 3, 2026, 7:50 p.m.
Created at: March 30, 2026, 7:11 p.m.