Triple

T3984614
Position Surface form Disambiguated ID Type / Status
Subject Rutland E86840 entity
Predicate NUTSCode P2415 FINISHED
Object UKF22
UKF22 is a NUTS (Nomenclature of Territorial Units for Statistics) regional statistical code used by the European Union to identify the area corresponding to Rutland in the United Kingdom.
 E404866 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: UKF22 | Statement: [Rutland, NUTSCode, UKF22]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: UKF22
Context triple: [Rutland, NUTSCode, UKF22]
  • A. KUF
    KUF is the IATA airport code for Kurumoch International Airport serving the Samara region in Russia.
  • B. EFKU
    EFKU is the ICAO airport code for Rissala Air Base in Finland, which serves both military and civilian aviation.
  • C. UKFF
    UKFF is the ICAO airport code assigned to Simferopol International Airport in Crimea.
  • D. Nfk
    Nfk is the standard postal abbreviation used for the English county of Norfolk.
  • E. KFU
    KFU is a major Russian research and educational institution officially known as Kazan (Volga Region) Federal University.
  • 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: UKF22
Triple: [Rutland, NUTSCode, UKF22]
Generated description
UKF22 is a NUTS (Nomenclature of Territorial Units for Statistics) regional statistical code used by the European Union to identify the area corresponding to Rutland in the United Kingdom.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: UKF22
Target entity description: UKF22 is a NUTS (Nomenclature of Territorial Units for Statistics) regional statistical code used by the European Union to identify the area corresponding to Rutland in the United Kingdom.
  • A. KUF
    KUF is the IATA airport code for Kurumoch International Airport serving the Samara region in Russia.
  • B. EFKU
    EFKU is the ICAO airport code for Rissala Air Base in Finland, which serves both military and civilian aviation.
  • C. UKFF
    UKFF is the ICAO airport code assigned to Simferopol International Airport in Crimea.
  • D. Nfk
    Nfk is the standard postal abbreviation used for the English county of Norfolk.
  • E. KFU
    KFU is a major Russian research and educational institution officially known as Kazan (Volga Region) Federal University.
  • 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_69aed93fd9d4819085d3b2137d2346cb completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef9de58d48190969f354a1bf0df94 completed March 9, 2026, 4:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b540284d548190821d37b68974a2d2 completed March 14, 2026, 11:02 a.m.
NEDg Description generation batch_69b54126234c8190990cf6df84a83e92 completed March 14, 2026, 11:06 a.m.
NED2 Entity disambiguation (via description) batch_69b5458d736481908ca826fa4fd01b8c completed March 14, 2026, 11:25 a.m.
Created at: March 9, 2026, 3:33 p.m.