Triple

T6093176
Position Surface form Disambiguated ID Type / Status
Subject Cecilia E135814 entity
Predicate shortForm P43 FINISHED
Object Cia
Cia is a feminine given name, often used as a short form or nickname for Cecilia.
 E567936 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: Cia | Statement: [Cecilia, shortForm, Cia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cia
Context triple: [Cecilia, shortForm, Cia]
  • A. CIA
    CIA is the three-letter IATA airport code for Ciampino–G. B. Pastine International Airport serving Rome, Italy.
  • B. Central Intelligence Agency
    The Central Intelligence Agency is the United States’ primary civilian foreign intelligence service, responsible for gathering, analyzing, and conducting covert operations abroad to support national security and policy decisions.
  • C. Grupo de Acción Rápida
    Grupo de Acción Rápida is a specialized rapid-response tactical unit of Spain’s Guardia Civil focused on high-risk operations such as counterterrorism and organized crime.
  • D. KGB
    The KGB was the Soviet Union’s main security and intelligence organization, responsible for state security, espionage, and political repression during much of the Cold War.
  • E. Kokusai
    Kokusai was a Japanese aircraft manufacturer known for producing military and transport planes before and during World War II.
  • 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: Cia
Triple: [Cecilia, shortForm, Cia]
Generated description
Cia is a feminine given name, often used as a short form or nickname for Cecilia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cia
Target entity description: Cia is a feminine given name, often used as a short form or nickname for Cecilia.
  • A. CIA
    CIA is the three-letter IATA airport code for Ciampino–G. B. Pastine International Airport serving Rome, Italy.
  • B. Central Intelligence Agency
    The Central Intelligence Agency is the United States’ primary civilian foreign intelligence service, responsible for gathering, analyzing, and conducting covert operations abroad to support national security and policy decisions.
  • C. Grupo de Acción Rápida
    Grupo de Acción Rápida is a specialized rapid-response tactical unit of Spain’s Guardia Civil focused on high-risk operations such as counterterrorism and organized crime.
  • D. KGB
    The KGB was the Soviet Union’s main security and intelligence organization, responsible for state security, espionage, and political repression during much of the Cold War.
  • E. Kokusai
    Kokusai was a Japanese aircraft manufacturer known for producing military and transport planes before and during World War II.
  • 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_69c0087cd3c48190b459848c72d84eb1 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c057ac8c7481909fb22cf157be45ce completed March 22, 2026, 8:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69c125365a7481909e40d01c2d3590aa completed March 23, 2026, 11:34 a.m.
NEDg Description generation batch_69c125c1a230819095dd0a56309880eb completed March 23, 2026, 11:36 a.m.
NED2 Entity disambiguation (via description) batch_69c126c641448190a826c213e8ab05af completed March 23, 2026, 11:40 a.m.
Created at: March 22, 2026, 4:12 p.m.