Triple

T1833406
Position Surface form Disambiguated ID Type / Status
Subject Norfolk E41008 entity
Predicate hasPostalAbbreviation P43 FINISHED
Object Nfk
Nfk is the standard postal abbreviation used for the English county of Norfolk.
 E203987 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: Nfk | Statement: [Norfolk, hasPostalAbbreviation, Nfk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nfk
Context triple: [Norfolk, hasPostalAbbreviation, Nfk]
  • A. NK
    NK is the two-letter IATA airline designator assigned to Spirit Airlines, a U.S.-based ultra-low-cost carrier.
  • B. FK
    FK is the two-letter ISO 3166 country code assigned to the Falkland Islands, a British Overseas Territory in the South Atlantic Ocean.
  • C. FKP
    FKP is the ISO 4217 currency code for the Falkland Islands pound, the official currency of the Falkland Islands.
  • D. Nuk
    Nuk is a well-known baby care brand specializing in products like bottles, pacifiers, and accessories designed to support natural oral development.
  • E. NIKL
    NIKL is the abbreviated name of South Korea’s National Institute of Korean Language, the government body responsible for researching, standardizing, and promoting the Korean language.
  • 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: Nfk
Triple: [Norfolk, hasPostalAbbreviation, Nfk]
Generated description
Nfk is the standard postal abbreviation used for the English county of Norfolk.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nfk
Target entity description: Nfk is the standard postal abbreviation used for the English county of Norfolk.
  • A. NK
    NK is the two-letter IATA airline designator assigned to Spirit Airlines, a U.S.-based ultra-low-cost carrier.
  • B. FK
    FK is the two-letter ISO 3166 country code assigned to the Falkland Islands, a British Overseas Territory in the South Atlantic Ocean.
  • C. FKP
    FKP is the ISO 4217 currency code for the Falkland Islands pound, the official currency of the Falkland Islands.
  • D. Nuk
    Nuk is a well-known baby care brand specializing in products like bottles, pacifiers, and accessories designed to support natural oral development.
  • E. NIKL
    NIKL is the abbreviated name of South Korea’s National Institute of Korean Language, the government body responsible for researching, standardizing, and promoting the Korean language.
  • 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_69a88647f9388190909bc36e795bdaec completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb02540dc819081b19a09562139cd completed March 7, 2026, 4:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69adbf711c148190ba12d9bc81892095 completed March 8, 2026, 6:26 p.m.
NEDg Description generation batch_69adc080abb88190883c35943dc7cb10 completed March 8, 2026, 6:31 p.m.
NED2 Entity disambiguation (via description) batch_69adc13330888190a2b99c6fcbb97d49 completed March 8, 2026, 6:34 p.m.
Created at: March 4, 2026, 7:33 p.m.