Triple

T12850681
Position Surface form Disambiguated ID Type / Status
Subject Sándor E307307 entity
Predicate hasDiminutive P456 FINISHED
Object Sanyi
Sanyi is a common Hungarian diminutive form of the male given name Sándor, equivalent to Alexander.
 E1006763 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: Sanyi | Statement: [Sándor, hasDiminutive, Sanyi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sanyi
Context triple: [Sándor, hasDiminutive, Sanyi]
  • A. Gyor
    Győr is a historic city in northwestern Hungary, strategically located at the confluence of the Danube, Rába, and Rábca rivers and known as an important regional industrial and cultural center.
  • B. Enying
    Enying is a small town in central Hungary known for its agricultural surroundings and location within Fejér County.
  • C. Sári
    Sári is a Hungarian given name and surname, often used as a diminutive form of names like Sára.
  • D. Tihany
    Tihany is a historic village on the northern shore of Lake Balaton in Hungary, renowned for its Benedictine abbey, scenic peninsula, and traditional architecture.
  • E. Balassagyarmat
    Balassagyarmat is a historic town in northern Hungary near the Slovak border, known as a regional cultural and administrative center.
  • 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: Sanyi
Triple: [Sándor, hasDiminutive, Sanyi]
Generated description
Sanyi is a common Hungarian diminutive form of the male given name Sándor, equivalent to Alexander.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sanyi
Target entity description: Sanyi is a common Hungarian diminutive form of the male given name Sándor, equivalent to Alexander.
  • A. Gyor
    Győr is a historic city in northwestern Hungary, strategically located at the confluence of the Danube, Rába, and Rábca rivers and known as an important regional industrial and cultural center.
  • B. Enying
    Enying is a small town in central Hungary known for its agricultural surroundings and location within Fejér County.
  • C. Sári
    Sári is a Hungarian given name and surname, often used as a diminutive form of names like Sára.
  • D. Tihany
    Tihany is a historic village on the northern shore of Lake Balaton in Hungary, renowned for its Benedictine abbey, scenic peninsula, and traditional architecture.
  • E. Balassagyarmat
    Balassagyarmat is a historic town in northern Hungary near the Slovak border, known as a regional cultural and administrative center.
  • 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_69d7bdf5e7cc8190be357278bc5ba3bb completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d97020eacc81909357b3398d17dc49 completed April 10, 2026, 9:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f69ba5059c81908be3b8b371518f41 completed May 3, 2026, 12:49 a.m.
NEDg Description generation batch_69f69d48e6948190a13afe3b8943d877 completed May 3, 2026, 12:56 a.m.
NED2 Entity disambiguation (via description) batch_69f69dfa2b8481908827025a28bfb056 completed May 3, 2026, 12:59 a.m.
Created at: April 9, 2026, 5:36 p.m.