Triple

T1170195
Position Surface form Disambiguated ID Type / Status
Subject Escola Nacional de Belas Artes E24894 entity
Predicate shortName P43 FINISHED
Object ENBA
ENBA is the commonly used abbreviation for the Escola Nacional de Belas Artes, a prominent national fine arts school.
 E133031 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: ENBA | Statement: [Escola Nacional de Belas Artes, shortName, ENBA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ENBA
Context triple: [Escola Nacional de Belas Artes, shortName, ENBA]
  • A. ENSBA
    ENSBA is the commonly used abbreviation for the École des Beaux-Arts, a prestigious French fine arts school renowned for its influence on art and architecture.
  • B. EB
    EB is the Executive Board of the World Health Organization, a governing body that advises and facilitates the implementation of the World Health Assembly’s decisions and policies.
  • C. BA
    BA is the New York Stock Exchange ticker symbol for The Boeing Company, a major American aerospace and defense manufacturer.
  • D. BA
    BA is the vehicle registration code used on license plates for cars registered in Bratislava, the capital city of Slovakia.
  • E. BA
    BA is the two-letter ISO 3166-1 alpha-2 country code assigned to Bosnia and Herzegovina.
  • 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: ENBA
Triple: [Escola Nacional de Belas Artes, shortName, ENBA]
Generated description
ENBA is the commonly used abbreviation for the Escola Nacional de Belas Artes, a prominent national fine arts school.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ENBA
Target entity description: ENBA is the commonly used abbreviation for the Escola Nacional de Belas Artes, a prominent national fine arts school.
  • A. ENSBA
    ENSBA is the commonly used abbreviation for the École des Beaux-Arts, a prestigious French fine arts school renowned for its influence on art and architecture.
  • B. EB
    EB is the Executive Board of the World Health Organization, a governing body that advises and facilitates the implementation of the World Health Assembly’s decisions and policies.
  • C. BA
    BA is the New York Stock Exchange ticker symbol for The Boeing Company, a major American aerospace and defense manufacturer.
  • D. BA
    BA is the vehicle registration code used on license plates for cars registered in Bratislava, the capital city of Slovakia.
  • E. BA
    BA is the two-letter ISO 3166-1 alpha-2 country code assigned to Bosnia and Herzegovina.
  • 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_69a494082a7c819095004f423f294a64 completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bce972cc8190bce0b77cfda6da41 completed March 1, 2026, 10:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac66879aec819098293c440a0e09a6 completed March 7, 2026, 5:55 p.m.
NEDg Description generation batch_69ac66fd58308190bb4cb09581d4a8de completed March 7, 2026, 5:57 p.m.
NED2 Entity disambiguation (via description) batch_69ac677e147081909d9f64884c443f82 completed March 7, 2026, 5:59 p.m.
Created at: March 1, 2026, 7:45 p.m.