Triple

T7268413
Position Surface form Disambiguated ID Type / Status
Subject Anna E161036 entity
Predicate hasDiminutive P456 FINISHED
Object Anka
Anka is a common diminutive form of the female given name Anna, used in several Slavic and Central European languages.
 E652916 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: Anka | Statement: [Anna, hasDiminutive, Anka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Anka
Context triple: [Anna, hasDiminutive, Anka]
  • A. Ani
    Ani was a medieval Armenian city renowned for its wealth, architectural splendor, and status as a major cultural and political center on the Silk Road.
  • B. Ani
    Ani is the Igbo earth goddess associated with morality, fertility, and the underworld in the Odinani traditional religion.
  • C. Aokas
    Aokas is a coastal town in northern Algeria known for its Mediterranean beaches, karst caves, and location along the scenic shoreline of Béjaïa Province.
  • D. Esek
    Esek is a masculine given name most notably borne by Esek Hopkins, the first Commander-in-Chief of the Continental Navy during the American Revolutionary War.
  • E. Waras
    Waras is a significant town in Afghanistan’s central highland region of Hazarajat, serving as an important local hub for the surrounding Hazara communities.
  • 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: Anka
Triple: [Anna, hasDiminutive, Anka]
Generated description
Anka is a common diminutive form of the female given name Anna, used in several Slavic and Central European languages.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Anka
Target entity description: Anka is a common diminutive form of the female given name Anna, used in several Slavic and Central European languages.
  • A. Ani
    Ani was a medieval Armenian city renowned for its wealth, architectural splendor, and status as a major cultural and political center on the Silk Road.
  • B. Ani
    Ani is the Igbo earth goddess associated with morality, fertility, and the underworld in the Odinani traditional religion.
  • C. Aokas
    Aokas is a coastal town in northern Algeria known for its Mediterranean beaches, karst caves, and location along the scenic shoreline of Béjaïa Province.
  • D. Esek
    Esek is a masculine given name most notably borne by Esek Hopkins, the first Commander-in-Chief of the Continental Navy during the American Revolutionary War.
  • E. Waras
    Waras is a significant town in Afghanistan’s central highland region of Hazarajat, serving as an important local hub for the surrounding Hazara communities.
  • 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_69c6885181008190b419040e22939c7c completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6eae8cc288190bc3ae3c7b38980d0 completed March 27, 2026, 8:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7db1e4f9c8190a23ce5a35073b7c7 completed March 28, 2026, 1:43 p.m.
NEDg Description generation batch_69c7dbd350a08190aa34ada9ba8d39ce completed March 28, 2026, 1:46 p.m.
NED2 Entity disambiguation (via description) batch_69c7dc7cb2d48190a40523eb7b03a9ef completed March 28, 2026, 1:49 p.m.
Created at: March 27, 2026, 2:58 p.m.