Triple

T1404777
Position Surface form Disambiguated ID Type / Status
Subject Hungarian forint E31665 entity
Predicate nameInHungarian P27628 FINISHED
Object forint
The forint is the official currency of Hungary, used for everyday transactions and monetary policy in the country.
 E162310 NE FINISHED

How this triple was built (5 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: forint | Statement: [Hungarian forint, nameInHungarian, forint]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: forint
Context triple: [Hungarian forint, nameInHungarian, forint]
  • A. inti
    Inti was the former official currency of Peru, used during the late 20th century before being replaced due to hyperinflation.
  • B. FRO
    FRO is the three-letter ISO 3166-1 alpha-3 country code assigned to the Faroe Islands.
  • C. 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.
  • D. FÜ
    FÜ is the vehicle registration code used on license plates for the city of Fürth in Bavaria, Germany.
  • E. Finfinne
    Finfinne is the Oromo name for Addis Ababa, the capital and largest city of Ethiopia.
  • 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: forint
Triple: [Hungarian forint, nameInHungarian, forint]
Generated description
The forint is the official currency of Hungary, used for everyday transactions and monetary policy in the country.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: forint
Target entity description: The forint is the official currency of Hungary, used for everyday transactions and monetary policy in the country.
  • A. inti
    Inti was the former official currency of Peru, used during the late 20th century before being replaced due to hyperinflation.
  • B. FRO
    FRO is the three-letter ISO 3166-1 alpha-3 country code assigned to the Faroe Islands.
  • C. 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.
  • D. FÜ
    FÜ is the vehicle registration code used on license plates for the city of Fürth in Bavaria, Germany.
  • E. Finfinne
    Finfinne is the Oromo name for Addis Ababa, the capital and largest city of Ethiopia.
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: nameInHungarian
Context triple: [Hungarian forint, nameInHungarian, forint]
  • A. nameInSlovak
    Indicates that an entity is known or referred to by a specific name in the Slovak language.
  • B. nameInGerman
    Indicates that an entity is known or referred to by a specific name in the German language.
  • C. nameInEsperanto
    Indicates that an entity’s name is expressed in the Esperanto language.
  • D. nameInTurkish
    Indicates that an entity is known or referred to by a specific name in the Turkish language.
  • E. czechName
    Indicates that an entity has a name in the Czech language, specifying the Czech-language form of its name.
  • F. None of above. chosen

Provenance (7 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_69a49918e1f88190ba610f9dc8114578 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c3bb3a9c81909db2ad91defd87b6 completed March 1, 2026, 10:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69ace573b9288190ac91d8f6ea94fa20 completed March 8, 2026, 2:56 a.m.
NEDg Description generation batch_69ace639296881909dc3fe52720d120d completed March 8, 2026, 3 a.m.
NED2 Entity disambiguation (via description) batch_69ace7730cf08190a4e0329be205da3f completed March 8, 2026, 3:05 a.m.
PD Predicate disambiguation batch_69a4bf030a388190bc82d30b9233e873 completed March 1, 2026, 10:34 p.m.
PDg Predicate description generation batch_69a4c11067b48190bca6ef3ac1475c20 completed March 1, 2026, 10:43 p.m.
Created at: March 1, 2026, 7:59 p.m.