Triple

T10240570
Position Surface form Disambiguated ID Type / Status
Subject Arturo E243576 entity
Predicate hasDiminutiveOrNickname P456 FINISHED
Object Artu
Artu is a diminutive or nickname form of the given name Arturo, commonly used in informal or affectionate contexts.
 E853452 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: Artu | Statement: [Arturo, hasDiminutiveOrNickname, Artu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Artu
Context triple: [Arturo, hasDiminutiveOrNickname, Artu]
  • A. Artà
    Artà is a historic town and municipality on the Spanish island of Mallorca, known for its traditional architecture, hilltop sanctuary, and scenic surroundings.
  • B. Arnalta
    Arnalta is a comic nurse character in Claudio Monteverdi’s opera "L'incoronazione di Poppea," known for her earthy wisdom and humorous commentary.
  • C. Alatyr
    Alatyr is a historic town in the Chuvash Republic of Russia, known as a regional cultural center with roots dating back to the medieval period.
  • D. Anarta
    Anarta was an ancient Indian kingdom traditionally linked to the Yadava clan and often identified with the region around present-day Gujarat.
  • E. Tarti
    Tarti is a small coastal settlement near Plomari on the Greek island of Lesbos, known for its beach and seaside tavernas.
  • 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: Artu
Triple: [Arturo, hasDiminutiveOrNickname, Artu]
Generated description
Artu is a diminutive or nickname form of the given name Arturo, commonly used in informal or affectionate contexts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Artu
Target entity description: Artu is a diminutive or nickname form of the given name Arturo, commonly used in informal or affectionate contexts.
  • A. Artà
    Artà is a historic town and municipality on the Spanish island of Mallorca, known for its traditional architecture, hilltop sanctuary, and scenic surroundings.
  • B. Arnalta
    Arnalta is a comic nurse character in Claudio Monteverdi’s opera "L'incoronazione di Poppea," known for her earthy wisdom and humorous commentary.
  • C. Alatyr
    Alatyr is a historic town in the Chuvash Republic of Russia, known as a regional cultural center with roots dating back to the medieval period.
  • D. Anarta
    Anarta was an ancient Indian kingdom traditionally linked to the Yadava clan and often identified with the region around present-day Gujarat.
  • E. Tarti
    Tarti is a small coastal settlement near Plomari on the Greek island of Lesbos, known for its beach and seaside tavernas.
  • 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_69d381b0f97c819085c9b45799a5fb7c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d21e27f08190b956d351a75c7c52 completed April 7, 2026, 9:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6f780c7808190993e7c37cb4d18a3 completed April 9, 2026, 12:49 a.m.
NEDg Description generation batch_69d6fa2f7a848190a9de5de4d0f3f110 completed April 9, 2026, 1 a.m.
NED2 Entity disambiguation (via description) batch_69d6fcbab3ec8190ade1c0223c22ad58 completed April 9, 2026, 1:11 a.m.
Created at: April 6, 2026, 11:24 a.m.