Triple

T10757349
Position Surface form Disambiguated ID Type / Status
Subject Wanda E253732 entity
Predicate hasDiminutive P456 FINISHED
Object Wandzia
Wandzia is a Polish diminutive form of the female given name Wanda, used as an affectionate or familiar nickname.
E884534 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: Wandzia | Statement: [Wanda, hasDiminutive, Wandzia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wandzia
Context triple: [Wanda, hasDiminutive, Wandzia]
  • A. Wanze
    Wanze is a municipality in eastern Belgium situated along the Meuse River in the Walloon Region.
  • B. Zumwa
    Zumwa is the Gbagyi-language name for Zuma Rock, the iconic monolithic inselberg near Abuja, Nigeria.
  • C. Dzundza
    Dzundza is the surname of George Dzundza, a German-American actor known for roles in films like "Crimson Tide" and the early seasons of "Law & Order."
  • D. Wondo
    Wondo is the nickname of Chris Wondolowski, a prolific American soccer forward best known for his record-breaking goal-scoring career in Major League Soccer with the San Jose Earthquakes.
  • E. Zangaléwa
    Zangaléwa is a popular 1986 makossa song by the Cameroonian group Golden Sounds, widely known across Africa and later internationally after being adapted into Shakira’s World Cup anthem "Waka Waka (This Time for Africa)."
  • 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: Wandzia
Triple: [Wanda, hasDiminutive, Wandzia]
Generated description
Wandzia is a Polish diminutive form of the female given name Wanda, used as an affectionate or familiar nickname.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Wandzia
Target entity description: Wandzia is a Polish diminutive form of the female given name Wanda, used as an affectionate or familiar nickname.
  • A. Wanze
    Wanze is a municipality in eastern Belgium situated along the Meuse River in the Walloon Region.
  • B. Zumwa
    Zumwa is the Gbagyi-language name for Zuma Rock, the iconic monolithic inselberg near Abuja, Nigeria.
  • C. Dzundza
    Dzundza is the surname of George Dzundza, a German-American actor known for roles in films like "Crimson Tide" and the early seasons of "Law & Order."
  • D. Wondo
    Wondo is the nickname of Chris Wondolowski, a prolific American soccer forward best known for his record-breaking goal-scoring career in Major League Soccer with the San Jose Earthquakes.
  • E. Zangaléwa
    Zangaléwa is a popular 1986 makossa song by the Cameroonian group Golden Sounds, widely known across Africa and later internationally after being adapted into Shakira’s World Cup anthem "Waka Waka (This Time for Africa)."
  • 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_69d6aa5f54f4819082d0bbcb6f8797e6 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d72e9fded88190940df48344fc368e completed April 9, 2026, 4:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69de2344b0ec8190b5d713c129790288 completed April 14, 2026, 11:21 a.m.
NEDg Description generation batch_69de27fb843c81908c0d0a5fb231543f completed April 14, 2026, 11:41 a.m.
NED2 Entity disambiguation (via description) batch_69de2dff4a048190823c8b5f1f7ea548 completed April 14, 2026, 12:07 p.m.
Created at: April 8, 2026, 9:15 p.m.