Triple

T12556361
Position Surface form Disambiguated ID Type / Status
Subject Fernanda E295226 entity
Predicate hasShortForm P43 FINISHED
Object Fer
Fer is a common shortened form of the given name Fernanda, often used as a casual or affectionate nickname.
 E990808 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: Fer | Statement: [Fernanda, hasShortForm, Fer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Fer
Context triple: [Fernanda, hasShortForm, Fer]
  • A. Ferike
    Ferike is a Hungarian given name, often used as a diminutive form of names like Ferenc or Frederika.
  • B. Ferch
    Ferch is a small village in the Brandenburg region of Germany, known for its lakeside setting on Schwielowsee and its traditional rural character.
  • C. 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.
  • D. Ferae
    Ferae is a mammalian clade that primarily includes carnivorans (such as dogs, cats, and bears) and pangolins, reflecting a close evolutionary relationship between these groups.
  • E. Ferro
    Ferro is an alternative name for El Hierro, the smallest and westernmost of Spain’s Canary Islands in the Atlantic Ocean.
  • 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: Fer
Triple: [Fernanda, hasShortForm, Fer]
Generated description
Fer is a common shortened form of the given name Fernanda, often used as a casual or affectionate nickname.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Fer
Target entity description: Fer is a common shortened form of the given name Fernanda, often used as a casual or affectionate nickname.
  • A. Ferike
    Ferike is a Hungarian given name, often used as a diminutive form of names like Ferenc or Frederika.
  • B. Ferch
    Ferch is a small village in the Brandenburg region of Germany, known for its lakeside setting on Schwielowsee and its traditional rural character.
  • C. 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.
  • D. Ferae
    Ferae is a mammalian clade that primarily includes carnivorans (such as dogs, cats, and bears) and pangolins, reflecting a close evolutionary relationship between these groups.
  • E. Ferro
    Ferro is an alternative name for El Hierro, the smallest and westernmost of Spain’s Canary Islands in the Atlantic Ocean.
  • 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_69d6ad9cac2c81908e8a7bed82d1e21d completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d95490d2708190857f0cb9b8dd6a30 completed April 10, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f655895c9c819082f41e79906567c6 completed May 2, 2026, 7:50 p.m.
NEDg Description generation batch_69f6599e89708190bc1d38e9702d7626 completed May 2, 2026, 8:07 p.m.
NED2 Entity disambiguation (via description) batch_69f65a414118819095049600f1ad6d63 completed May 2, 2026, 8:10 p.m.
Created at: April 8, 2026, 11:47 p.m.