Triple

T5384966
Position Surface form Disambiguated ID Type / Status
Subject Eonavian language E120180 entity
Predicate alternativeName P39 FINISHED
Object Eonavian
Eonavian is a Romance language variety spoken in the westernmost part of Asturias, Spain, showing features transitional between Galician-Portuguese and Asturian.
 E515076 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: Eonavian | Statement: [Eonavian language, alternativeName, Eonavian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Eonavian
Context triple: [Eonavian language, alternativeName, Eonavian]
  • A. Averostra
    Averostra is a major clade of theropod dinosaurs that includes many of the more derived, often carnivorous lineages such as ceratosaurs and tetanurans.
  • B. Eordaea
    Eordaea was an ancient region in Upper Macedonia, known as one of the early Macedonian tribal areas in the northwest of the kingdom.
  • C. Teurnia
    Teurnia was an important ancient Roman city that served as a major administrative and cultural center in the province of Noricum, located in what is now southern Austria.
  • D. Wihro
    Wihro is the official mascot character created for the 2022 Mediterranean Games.
  • E. Aternus
    Aternus is an ancient river in central Italy historically associated with the territory of the Marrucini people.
  • 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: Eonavian
Triple: [Eonavian language, alternativeName, Eonavian]
Generated description
Eonavian is a Romance language variety spoken in the westernmost part of Asturias, Spain, showing features transitional between Galician-Portuguese and Asturian.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Eonavian
Target entity description: Eonavian is a Romance language variety spoken in the westernmost part of Asturias, Spain, showing features transitional between Galician-Portuguese and Asturian.
  • A. Averostra
    Averostra is a major clade of theropod dinosaurs that includes many of the more derived, often carnivorous lineages such as ceratosaurs and tetanurans.
  • B. Eordaea
    Eordaea was an ancient region in Upper Macedonia, known as one of the early Macedonian tribal areas in the northwest of the kingdom.
  • C. Teurnia
    Teurnia was an important ancient Roman city that served as a major administrative and cultural center in the province of Noricum, located in what is now southern Austria.
  • D. Wihro
    Wihro is the official mascot character created for the 2022 Mediterranean Games.
  • E. Aternus
    Aternus is an ancient river in central Italy historically associated with the territory of the Marrucini people.
  • 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_69bd46354c648190a38b26f107010a96 completed March 20, 2026, 1:05 p.m.
NER Named-entity recognition batch_69bd86f5a7388190aa4ba2052afca74e completed March 20, 2026, 5:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf295030b081909bea5e946aac098b completed March 21, 2026, 11:27 p.m.
NEDg Description generation batch_69bf2a0aa4608190ad696442aa56dad5 completed March 21, 2026, 11:30 p.m.
NED2 Entity disambiguation (via description) batch_69bf2a64313881908d12d0c27a97927b completed March 21, 2026, 11:31 p.m.
Created at: March 20, 2026, 2:03 p.m.