Triple

T15803669
Position Surface form Disambiguated ID Type / Status
Subject Glosas Emilianenses E383158 entity
Predicate language P15 FINISHED
Object Navarro-Aragonese
Navarro-Aragonese is a medieval Romance language of the Iberian Peninsula, historically spoken in parts of Navarre and Aragon and known from early written records such as the Glosas Emilianenses.
 E1176480 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: Navarro-Aragonese | Statement: [Glosas Emilianenses, language, Navarro-Aragonese]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Navarro-Aragonese
Context triple: [Glosas Emilianenses, language, Navarro-Aragonese]
  • A. Gallego
    Gallego is a Spanish surname commonly associated with people of Galician origin or ancestry.
  • B. Gállego
    The Gállego is a river in northeastern Spain that flows through the Aragon region and serves as a tributary of the Ebro River.
  • C. القسطلاني
    القسطلاني هو عالم حديث شافعي مصري من القرن التاسع الهجري اشتهر بشرحه الموسوعي لصحيح البخاري وبتآليفه في الحديث والفقه والتصوف.
  • D. González Mateos
    González Mateos is a Spanish-language surname, notably borne by individuals such as Francisca González Mateos.
  • E. Echeandía
    Echeandía is a small town in central Ecuador known for its agricultural activities and rural Andean setting.
  • 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: Navarro-Aragonese
Triple: [Glosas Emilianenses, language, Navarro-Aragonese]
Generated description
Navarro-Aragonese is a medieval Romance language of the Iberian Peninsula, historically spoken in parts of Navarre and Aragon and known from early written records such as the Glosas Emilianenses.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Navarro-Aragonese
Target entity description: Navarro-Aragonese is a medieval Romance language of the Iberian Peninsula, historically spoken in parts of Navarre and Aragon and known from early written records such as the Glosas Emilianenses.
  • A. Gallego
    Gallego is a Spanish surname commonly associated with people of Galician origin or ancestry.
  • B. Gállego
    The Gállego is a river in northeastern Spain that flows through the Aragon region and serves as a tributary of the Ebro River.
  • C. القسطلاني
    القسطلاني هو عالم حديث شافعي مصري من القرن التاسع الهجري اشتهر بشرحه الموسوعي لصحيح البخاري وبتآليفه في الحديث والفقه والتصوف.
  • D. González Mateos
    González Mateos is a Spanish-language surname, notably borne by individuals such as Francisca González Mateos.
  • E. Echeandía
    Echeandía is a small town in central Ecuador known for its agricultural activities and rural Andean setting.
  • 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_69d86da2858c819090cc8481e7207b6e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0b524835c8190ae286b2562f07756 completed April 16, 2026, 10:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff90b4fe5881909471887219654d69 completed May 9, 2026, 7:53 p.m.
NEDg Description generation batch_69ff92c07f60819089c3faeea98e329c completed May 9, 2026, 8:02 p.m.
NED2 Entity disambiguation (via description) batch_69ff9383ff1c81909e34995818a3c3f7 completed May 9, 2026, 8:05 p.m.
Created at: April 10, 2026, 4:48 a.m.