Triple

T10334881
Position Surface form Disambiguated ID Type / Status
Subject Shanghai Institute of Visual Arts E242973 entity
Predicate hasAbbreviation P43 FINISHED
Object SIVA
SIVA is a specialized art and design university in Shanghai focusing on visual arts, creative media, and related disciplines.
 E857715 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: SIVA | Statement: [Shanghai Institute of Visual Arts, hasAbbreviation, SIVA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SIVA
Context triple: [Shanghai Institute of Visual Arts, hasAbbreviation, SIVA]
  • A. SICA
    SICA is a regional organization that promotes political, economic, and social integration among Central American countries.
  • B. SIA
    SIA is the National Rail station code for Southend Airport railway station in Essex, England.
  • C. SIA
    SIA is the commonly used abbreviation for the Security Industry Authority, the regulatory body overseeing the private security industry in the United Kingdom.
  • D. SIA
    SIA is the ICAO airline designator used to identify Singapore Airlines in international aviation operations and communications.
  • E. Saisiyat
    The Saisiyat are one of Taiwan’s indigenous Austronesian-speaking peoples, known for their distinctive culture and the legendary Pasta’ay (Dwarf) ritual.
  • 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: SIVA
Triple: [Shanghai Institute of Visual Arts, hasAbbreviation, SIVA]
Generated description
SIVA is a specialized art and design university in Shanghai focusing on visual arts, creative media, and related disciplines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SIVA
Target entity description: SIVA is a specialized art and design university in Shanghai focusing on visual arts, creative media, and related disciplines.
  • A. SICA
    SICA is a regional organization that promotes political, economic, and social integration among Central American countries.
  • B. SIA
    SIA is the National Rail station code for Southend Airport railway station in Essex, England.
  • C. SIA
    SIA is the commonly used abbreviation for the Security Industry Authority, the regulatory body overseeing the private security industry in the United Kingdom.
  • D. SIA
    SIA is the ICAO airline designator used to identify Singapore Airlines in international aviation operations and communications.
  • E. Saisiyat
    The Saisiyat are one of Taiwan’s indigenous Austronesian-speaking peoples, known for their distinctive culture and the legendary Pasta’ay (Dwarf) ritual.
  • 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_69d381af787481908bc401325c760a88 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4dfc425748190a3d29f81e32e948b completed April 7, 2026, 10:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7505b85048190ad69a4fb5c63c677 completed April 9, 2026, 7:08 a.m.
NEDg Description generation batch_69d7618b0f2481908149596dc86d4593 completed April 9, 2026, 8:21 a.m.
NED2 Entity disambiguation (via description) batch_69d77015ae688190870976309e2b912b completed April 9, 2026, 9:23 a.m.
Created at: April 6, 2026, 11:53 a.m.