Triple

T10537482
Position Surface form Disambiguated ID Type / Status
Subject Semyon E248607 entity
Predicate hasDiminutive P456 FINISHED
Object Sema
Sema is a Russian diminutive form of the male given name Semyon.
 E869848 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: Sema | Statement: [Semyon, hasDiminutive, Sema]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sema
Context triple: [Semyon, hasDiminutive, Sema]
  • A. Senaya
    Senaya is a modern Eastern Aramaic dialect traditionally spoken by the Christian community from Sanandaj in western Iran.
  • B. Mosta
    Mosta is a town in central Malta best known for its impressive Rotunda church, which has one of the largest unsupported domes in the world.
  • C. Sadras
    Sadras is a historic coastal town in Tamil Nadu, India, known for its Dutch-era fort and role as a former trading port on the Coromandel Coast.
  • D. Sessa
    Sessa is a small municipality in the canton of Ticino in southern Switzerland, near the Italian border.
  • E. Salwa
    Salwa is a coastal residential district in Kuwait, located within the Hawalli Governorate and known for its mix of housing, schools, and local amenities.
  • 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: Sema
Triple: [Semyon, hasDiminutive, Sema]
Generated description
Sema is a Russian diminutive form of the male given name Semyon.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sema
Target entity description: Sema is a Russian diminutive form of the male given name Semyon.
  • A. Senaya
    Senaya is a modern Eastern Aramaic dialect traditionally spoken by the Christian community from Sanandaj in western Iran.
  • B. Mosta
    Mosta is a town in central Malta best known for its impressive Rotunda church, which has one of the largest unsupported domes in the world.
  • C. Sadras
    Sadras is a historic coastal town in Tamil Nadu, India, known for its Dutch-era fort and role as a former trading port on the Coromandel Coast.
  • D. Sessa
    Sessa is a small municipality in the canton of Ticino in southern Switzerland, near the Italian border.
  • E. Salwa
    Salwa is a coastal residential district in Kuwait, located within the Hawalli Governorate and known for its mix of housing, schools, and local amenities.
  • 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_69d381c5c7448190bec34bee7ec72bac completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d50a56133c819088285522e64831f7 completed April 7, 2026, 1:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69d90e5b827881909e87651a88976f18 completed April 10, 2026, 2:51 p.m.
NEDg Description generation batch_69d9107f488481908845aef0fdf6d60d completed April 10, 2026, 3 p.m.
NED2 Entity disambiguation (via description) batch_69d911790010819093fc50952502fd59 completed April 10, 2026, 3:04 p.m.
Created at: April 6, 2026, 12:31 p.m.