Triple

T10446306
Position Surface form Disambiguated ID Type / Status
Subject Laurentius E246296 entity
Predicate hasVariant P455 FINISHED
Object Wawrzyniec
Wawrzyniec is the Polish form of the given name Laurentius (Lawrence), traditionally associated with Christian heritage and saints.
E866617 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: Wawrzyniec | Statement: [Laurentius, hasVariant, Wawrzyniec]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wawrzyniec
Context triple: [Laurentius, hasVariant, Wawrzyniec]
  • A. Wacław
    Wacław is a Polish given name, equivalent to the name Wenceslaus or Wenzel in other Central European languages.
  • B. Wojnicz
    Wojnicz is a small historic town in southern Poland, known for its medieval roots and location near the city of Tarnów.
  • C. Wierzyca
    Wierzyca is a river in northern Poland that flows through the Pomeranian region before joining the Wda and ultimately contributing to the Vistula river basin.
  • D. Wołowiec
    Wołowiec is a prominent peak in the Western Tatras on the Polish-Slovak border, popular with hikers for its panoramic views and accessible routes.
  • E. Wincenty
    Wincenty is a masculine given name of Slavic origin, particularly common in Poland.
  • 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: Wawrzyniec
Triple: [Laurentius, hasVariant, Wawrzyniec]
Generated description
Wawrzyniec is the Polish form of the given name Laurentius (Lawrence), traditionally associated with Christian heritage and saints.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Wawrzyniec
Target entity description: Wawrzyniec is the Polish form of the given name Laurentius (Lawrence), traditionally associated with Christian heritage and saints.
  • A. Wacław
    Wacław is a Polish given name, equivalent to the name Wenceslaus or Wenzel in other Central European languages.
  • B. Wojnicz
    Wojnicz is a small historic town in southern Poland, known for its medieval roots and location near the city of Tarnów.
  • C. Wierzyca
    Wierzyca is a river in northern Poland that flows through the Pomeranian region before joining the Wda and ultimately contributing to the Vistula river basin.
  • D. Wołowiec
    Wołowiec is a prominent peak in the Western Tatras on the Polish-Slovak border, popular with hikers for its panoramic views and accessible routes.
  • E. Wincenty
    Wincenty is a masculine given name of Slavic origin, particularly common in Poland.
  • 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_69d381c04fe08190957c26c526a3b05a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4fdc0520c819098d2d53ee46a89ae completed April 7, 2026, 12:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69d8dc43e53081909e14cfe295d17cb2 completed April 10, 2026, 11:17 a.m.
NEDg Description generation batch_69d8e8c683608190aa4333ed38e79f53 completed April 10, 2026, 12:10 p.m.
NED2 Entity disambiguation (via description) batch_69d901c7684c8190837ed9ef0c2428af completed April 10, 2026, 1:57 p.m.
Created at: April 6, 2026, 12:16 p.m.