Triple

T13087924
Position Surface form Disambiguated ID Type / Status
Subject Ferenc E310384 entity
Predicate hasDiminutive P456 FINISHED
Object Ferkó
Ferkó is a Hungarian diminutive form of the male given name Ferenc, similar to "Frankie" for "Frank" in English.
 E939614 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: Ferkó | Statement: [Ferenc, hasDiminutive, Ferkó]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ferkó
Context triple: [Ferenc, hasDiminutive, Ferkó]
  • A. Ferike
    Ferike is a Hungarian given name, often used as a diminutive form of names like Ferenc or Frederika.
  • B. Fajsz
    Fajsz was a 10th-century Grand Prince of the early Hungarian state, known primarily from medieval chronicles as one of the Árpád dynasty rulers.
  • C. Fiser
    Fiser is a surname variant of Fischer, commonly associated with Central or Eastern European origins.
  • D. Ferla
    Ferla is a small historic town in southeastern Sicily, Italy, known as a gateway to the UNESCO-listed Pantalica archaeological area and its surrounding natural landscapes.
  • E. Ferch
    Ferch is a small village in the Brandenburg region of Germany, known for its lakeside setting on Schwielowsee and its traditional rural character.
  • 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: Ferkó
Triple: [Ferenc, hasDiminutive, Ferkó]
Generated description
Ferkó is a Hungarian diminutive form of the male given name Ferenc, similar to "Frankie" for "Frank" in English.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ferkó
Target entity description: Ferkó is a Hungarian diminutive form of the male given name Ferenc, similar to "Frankie" for "Frank" in English.
  • A. Ferike chosen
    Ferike is a Hungarian given name, often used as a diminutive form of names like Ferenc or Frederika.
  • B. Fajsz
    Fajsz was a 10th-century Grand Prince of the early Hungarian state, known primarily from medieval chronicles as one of the Árpád dynasty rulers.
  • C. Fiser
    Fiser is a surname variant of Fischer, commonly associated with Central or Eastern European origins.
  • D. Ferla
    Ferla is a small historic town in southeastern Sicily, Italy, known as a gateway to the UNESCO-listed Pantalica archaeological area and its surrounding natural landscapes.
  • E. Ferch
    Ferch is a small village in the Brandenburg region of Germany, known for its lakeside setting on Schwielowsee and its traditional rural character.
  • F. None of above.

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_69d806a733548190989cfd4ce981ca33 completed April 9, 2026, 8:05 p.m.
NER Named-entity recognition batch_69d981378dd08190b4f00e4e5df0e480 completed April 10, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6e27417308190b388be4a31ce4b5d completed May 3, 2026, 5:51 a.m.
NEDg Description generation batch_69f6e4774f4881908692c2d57158db4a completed May 3, 2026, 6 a.m.
NED2 Entity disambiguation (via description) batch_69f6e5630a5c8190bc17abac3cc6612e completed May 3, 2026, 6:04 a.m.
Created at: April 9, 2026, 9:02 p.m.