Triple

T7343171
Position Surface form Disambiguated ID Type / Status
Subject Sylwia E169307 entity
Predicate hasDiminutive P456 FINISHED
Object Sylwuś
Sylwuś is a Polish diminutive form of the female given name Sylwia, used as an affectionate or familiar nickname.
 E658459 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: Sylwuś | Statement: [Sylwia, hasDiminutive, Sylwuś]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sylwuś
Context triple: [Sylwia, hasDiminutive, Sylwuś]
  • A. Sylwka
    Sylwka is a Polish diminutive form of the female given name Sylwia, used as an affectionate or informal nickname.
  • B. Sorkwity
    Sorkwity is a village in northern Poland known for its scenic lakeside setting and historic manor house, situated in the Warmian-Masurian Voivodeship.
  • C. Wacław
    Wacław is a Polish given name, equivalent to the name Wenceslaus or Wenzel in other Central European languages.
  • D. Jędruś
    Jędruś is a Polish diminutive form of the male given name Andrzej, often used affectionately or for children.
  • E. Sławomir
    Sławomir is a Polish masculine given name commonly borne by notable figures in fields such as film, music, and sports.
  • 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: Sylwuś
Triple: [Sylwia, hasDiminutive, Sylwuś]
Generated description
Sylwuś is a Polish diminutive form of the female given name Sylwia, used as an affectionate or familiar nickname.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sylwuś
Target entity description: Sylwuś is a Polish diminutive form of the female given name Sylwia, used as an affectionate or familiar nickname.
  • A. Sylwka chosen
    Sylwka is a Polish diminutive form of the female given name Sylwia, used as an affectionate or informal nickname.
  • B. Sorkwity
    Sorkwity is a village in northern Poland known for its scenic lakeside setting and historic manor house, situated in the Warmian-Masurian Voivodeship.
  • C. Wacław
    Wacław is a Polish given name, equivalent to the name Wenceslaus or Wenzel in other Central European languages.
  • D. Jędruś
    Jędruś is a Polish diminutive form of the male given name Andrzej, often used affectionately or for children.
  • E. Sławomir
    Sławomir is a Polish masculine given name commonly borne by notable figures in fields such as film, music, and sports.
  • 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_69c68a57710481909f0c1f3c6ebdb6f2 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f0db2db8819088c4bed5d65571f6 completed March 27, 2026, 9:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69c802b24194819096b796de15d66ed2 completed March 28, 2026, 4:32 p.m.
NEDg Description generation batch_69c8044ce6e88190aa36461ac729235b completed March 28, 2026, 4:39 p.m.
NED2 Entity disambiguation (via description) batch_69c8050e70108190b2cc0d2d30ddf139 completed March 28, 2026, 4:42 p.m.
Created at: March 27, 2026, 3:04 p.m.