Triple

T2303828
Position Surface form Disambiguated ID Type / Status
Subject Tarentum E51791 entity
Predicate hasOriginalName P65 FINISHED
Object Taras
Taras is the ancient Greek city in southern Italy that later became known by its Roman name Tarentum.
 E253417 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: Taras | Statement: [Tarentum, hasOriginalName, Taras]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Taras
Context triple: [Tarentum, hasOriginalName, Taras]
  • A. Vasyl
    Vasyl is a common Ukrainian male given name, equivalent to Basil in English.
  • B. Mykola
    Mykola is the Ukrainian form of the given name Nicholas, commonly used in Ukraine and among Ukrainian communities.
  • C. Antoshka
    Antoshka is a common Russian diminutive form of the male given name Anton, often used affectionately or informally.
  • D. Gerasim
    Gerasim is the compassionate peasant servant in Leo Tolstoy’s novella "The Death of Ivan Ilyich," known for his honesty, simplicity, and humane care for the dying protagonist.
  • E. Shmyhal
    Shmyhal is the surname of Denys Shmyhal, a Ukrainian politician who has served as Prime Minister of Ukraine.
  • 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: Taras
Triple: [Tarentum, hasOriginalName, Taras]
Generated description
Taras is the ancient Greek city in southern Italy that later became known by its Roman name Tarentum.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Taras
Target entity description: Taras is the ancient Greek city in southern Italy that later became known by its Roman name Tarentum.
  • A. Vasyl
    Vasyl is a common Ukrainian male given name, equivalent to Basil in English.
  • B. Mykola
    Mykola is the Ukrainian form of the given name Nicholas, commonly used in Ukraine and among Ukrainian communities.
  • C. Antoshka
    Antoshka is a common Russian diminutive form of the male given name Anton, often used affectionately or informally.
  • D. Gerasim
    Gerasim is the compassionate peasant servant in Leo Tolstoy’s novella "The Death of Ivan Ilyich," known for his honesty, simplicity, and humane care for the dying protagonist.
  • E. Shmyhal
    Shmyhal is the surname of Denys Shmyhal, a Ukrainian politician who has served as Prime Minister of Ukraine.
  • 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_69a88b0a9f248190bcff941463d8f65a completed March 4, 2026, 7:42 p.m.
NER Named-entity recognition batch_69abc5f2de7c819095bd74a551d8ff18 completed March 7, 2026, 6:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae7f332e788190b1dd4b8b0bbfe5d7 completed March 9, 2026, 8:05 a.m.
NEDg Description generation batch_69ae802a066881909aa4e7b00e29306f completed March 9, 2026, 8:09 a.m.
NED2 Entity disambiguation (via description) batch_69ae80c37ff48190a24b7806320ebc00 completed March 9, 2026, 8:11 a.m.
Created at: March 4, 2026, 7:49 p.m.