Triple

T16223507
Position Surface form Disambiguated ID Type / Status
Subject Luria E393787 entity
Predicate hasVariant P455 FINISHED
Object Lurya
Lurya is a variant form of the Jewish surname Luria, historically associated with prominent rabbinic and scholarly families.
 E1200518 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: Lurya | Statement: [Luria, hasVariant, Lurya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lurya
Context triple: [Luria, hasVariant, Lurya]
  • A. Pylia
    Pylia is a figure in Greek mythology known primarily as the mother of Aegeus, the legendary king of Athens and father of Theseus.
  • B. Vereya
    Vereya is a small historic town in Russia that was once part of the former Moscow Governorate.
  • C. Luvia
    Luvia is a coastal municipality in western Finland, located in the Satakunta region along the Gulf of Bothnia.
  • D. Dorla
    Dorla are an indigenous Adivasi community of the Bastar region in central India, known for their distinct cultural traditions, language, and close relationship with forest-based livelihoods.
  • E. Lelylaan
    Lelylaan is a transport hub and railway/metro station in Amsterdam’s Nieuw-West district, connecting metro, train, tram, and bus services.
  • 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: Lurya
Triple: [Luria, hasVariant, Lurya]
Generated description
Lurya is a variant form of the Jewish surname Luria, historically associated with prominent rabbinic and scholarly families.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lurya
Target entity description: Lurya is a variant form of the Jewish surname Luria, historically associated with prominent rabbinic and scholarly families.
  • A. Pylia
    Pylia is a figure in Greek mythology known primarily as the mother of Aegeus, the legendary king of Athens and father of Theseus.
  • B. Vereya
    Vereya is a small historic town in Russia that was once part of the former Moscow Governorate.
  • C. Luvia
    Luvia is a coastal municipality in western Finland, located in the Satakunta region along the Gulf of Bothnia.
  • D. Dorla
    Dorla are an indigenous Adivasi community of the Bastar region in central India, known for their distinct cultural traditions, language, and close relationship with forest-based livelihoods.
  • E. Lelylaan
    Lelylaan is a transport hub and railway/metro station in Amsterdam’s Nieuw-West district, connecting metro, train, tram, and bus services.
  • 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_69d87f204df88190a8f88923decf9835 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e23d23e63881908806920d878f2adb completed April 17, 2026, 2:01 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00079a5c1481909485e1b4a41f5d2c completed May 10, 2026, 4:20 a.m.
NEDg Description generation batch_6a0008d53b6081908d66b2c09e8b2565 completed May 10, 2026, 4:25 a.m.
NED2 Entity disambiguation (via description) batch_6a00096cabec81908fec25052e9cf4f8 completed May 10, 2026, 4:28 a.m.
Created at: April 10, 2026, 5:03 a.m.