Triple

T12175544
Position Surface form Disambiguated ID Type / Status
Subject Carina E290077 entity
Predicate containsStar P1393 FINISHED
Object Avior
Avior is a bright binary star system in the constellation Carina, known as one of the stars that form the asterism of the False Cross in the southern sky.
 E970245 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: Avior | Statement: [Carina, containsStar, Avior]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Avior
Context triple: [Carina, containsStar, Avior]
  • A. Aereon
    Aereon is an ethereal, air-elemental being known as an Elemental who serves as a prophetic guide to Riddick in the science fiction film "The Chronicles of Riddick."
  • B. Avion
    Avion is a commune in the Pas-de-Calais department in northern France.
  • C. Equair
    Equair is an Ecuadorian airline that operated domestic passenger flights, notably serving routes from Guayaquil and Quito.
  • D. Aerograd
    Aerograd is a 1935 Soviet science fiction and propaganda film directed by Alexander Dovzhenko, set in a futuristic Far Eastern border town threatened by foreign and internal enemies.
  • E. Aerodom
    Aerodom is a Dominican airport management company that operates several of the country’s main airports under concession agreements.
  • 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: Avior
Triple: [Carina, containsStar, Avior]
Generated description
Avior is a bright binary star system in the constellation Carina, known as one of the stars that form the asterism of the False Cross in the southern sky.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Avior
Target entity description: Avior is a bright binary star system in the constellation Carina, known as one of the stars that form the asterism of the False Cross in the southern sky.
  • A. Aereon
    Aereon is an ethereal, air-elemental being known as an Elemental who serves as a prophetic guide to Riddick in the science fiction film "The Chronicles of Riddick."
  • B. Avion
    Avion is a commune in the Pas-de-Calais department in northern France.
  • C. Equair
    Equair is an Ecuadorian airline that operated domestic passenger flights, notably serving routes from Guayaquil and Quito.
  • D. Aerograd
    Aerograd is a 1935 Soviet science fiction and propaganda film directed by Alexander Dovzhenko, set in a futuristic Far Eastern border town threatened by foreign and internal enemies.
  • E. Aerodom
    Aerodom is a Dominican airport management company that operates several of the country’s main airports under concession agreements.
  • 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_69d6ab4d6c00819095a9a7c35de83cfb completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915dc71788190bdaadf7be9d8d6ce completed April 10, 2026, 3:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60a88b8748190a6c95e143f370010 completed May 2, 2026, 2:30 p.m.
NEDg Description generation batch_69f60bdb39f48190ad6bc51db6c34163 completed May 2, 2026, 2:36 p.m.
NED2 Entity disambiguation (via description) batch_69f60d4889d48190b2dfda8a0978cc72 completed May 2, 2026, 2:42 p.m.
Created at: April 8, 2026, 9:50 p.m.