Triple

T8754685
Position Surface form Disambiguated ID Type / Status
Subject GAZ Group E208044 entity
Predicate brand P1500 FINISHED
Object PAZ
PAZ is a Russian automotive brand best known for producing small and medium-sized buses commonly used for public transportation.
 E754545 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: PAZ | Statement: [GAZ Group, brand, PAZ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: PAZ
Context triple: [GAZ Group, brand, PAZ]
  • A. Paz
    Paz is a Spanish word meaning "peace," commonly used in mottos and expressions emphasizing harmony and non-violence.
  • B. LPAZ
    LPAZ is the ICAO code for Santa Maria Airport, a civil aviation facility on Santa Maria Island in Portugal’s Azores archipelago.
  • C. Pac
    Pac is the widely used nickname of Tupac Shakur, the influential American rapper, actor, and cultural icon.
  • D. NPAZ
    NPAZ is the acronym for Zimbabwe’s National Prosecuting Authority, the state body responsible for directing public prosecutions and upholding criminal justice in the country.
  • E. PZ
    PZ is the vehicle registration code used on license plates for vehicles registered in the Preveza regional unit of Greece.
  • 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: PAZ
Triple: [GAZ Group, brand, PAZ]
Generated description
PAZ is a Russian automotive brand best known for producing small and medium-sized buses commonly used for public transportation.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: PAZ
Target entity description: PAZ is a Russian automotive brand best known for producing small and medium-sized buses commonly used for public transportation.
  • A. Paz
    Paz is a Spanish word meaning "peace," commonly used in mottos and expressions emphasizing harmony and non-violence.
  • B. LPAZ
    LPAZ is the ICAO code for Santa Maria Airport, a civil aviation facility on Santa Maria Island in Portugal’s Azores archipelago.
  • C. Pac
    Pac is the widely used nickname of Tupac Shakur, the influential American rapper, actor, and cultural icon.
  • D. NPAZ
    NPAZ is the acronym for Zimbabwe’s National Prosecuting Authority, the state body responsible for directing public prosecutions and upholding criminal justice in the country.
  • E. PZ
    PZ is the vehicle registration code used on license plates for vehicles registered in the Preveza regional unit of Greece.
  • 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_69ca835cd6b08190bd7c63db92f53c86 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5dd83088819082cf54adc0c04243 completed March 31, 2026, 11:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf43305664819085e762e42b138754 completed April 3, 2026, 4:33 a.m.
NEDg Description generation batch_69cf452b237c8190958f7b42e9611e7b completed April 3, 2026, 4:42 a.m.
NED2 Entity disambiguation (via description) batch_69cf45e6f4108190ac6955264b466abb completed April 3, 2026, 4:45 a.m.
Created at: March 30, 2026, 6:39 p.m.