Triple

T9108434
Position Surface form Disambiguated ID Type / Status
Subject Souletin E218534 entity
Predicate hasAlternativeName P39 FINISHED
Object Zuberera
Zuberera is an alternative name for the Souletin dialect of the Basque language, spoken in the Soule region of the French Basque Country.
 E780181 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: Zuberera | Statement: [Souletin, hasAlternativeName, Zuberera]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Zuberera
Context triple: [Souletin, hasAlternativeName, Zuberera]
  • A. Unzaga
    Unzaga is a Spanish surname historically associated with families of Basque origin and notable figures in Spain and Latin America.
  • B. Zurer
    Zurer is the surname of Ayelet Zurer, an Israeli actress known for her roles in international films and television series.
  • C. Zannone
    Zannone is a small, uninhabited Italian island in the Tyrrhenian Sea, noted for its protected natural environment and inclusion in the Circeo National Park.
  • D. Zemba
    Zemba is a Bantu language variety spoken primarily in southwestern Angola and northern Namibia, closely related to and often considered a dialect of Herero.
  • E. Dazaga
    Dazaga is a Saharan language spoken primarily by the Daza (Gorane) people across parts of Chad, Niger, Libya, and Sudan.
  • 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: Zuberera
Triple: [Souletin, hasAlternativeName, Zuberera]
Generated description
Zuberera is an alternative name for the Souletin dialect of the Basque language, spoken in the Soule region of the French Basque Country.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Zuberera
Target entity description: Zuberera is an alternative name for the Souletin dialect of the Basque language, spoken in the Soule region of the French Basque Country.
  • A. Unzaga
    Unzaga is a Spanish surname historically associated with families of Basque origin and notable figures in Spain and Latin America.
  • B. Zurer
    Zurer is the surname of Ayelet Zurer, an Israeli actress known for her roles in international films and television series.
  • C. Zannone
    Zannone is a small, uninhabited Italian island in the Tyrrhenian Sea, noted for its protected natural environment and inclusion in the Circeo National Park.
  • D. Zemba
    Zemba is a Bantu language variety spoken primarily in southwestern Angola and northern Namibia, closely related to and often considered a dialect of Herero.
  • E. Dazaga
    Dazaga is a Saharan language spoken primarily by the Daza (Gorane) people across parts of Chad, Niger, Libya, and Sudan.
  • 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_69ca83db7448819090d0a5de842ef2ac completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca57543448190829853c31e05dd8c completed April 1, 2026, 4:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69d047a447dc81908f9d1cb457955c7d completed April 3, 2026, 11:05 p.m.
NEDg Description generation batch_69d049058dec81909854965276252808 completed April 3, 2026, 11:11 p.m.
NED2 Entity disambiguation (via description) batch_69d049913b7481909ccbaf4999e37c06 completed April 3, 2026, 11:13 p.m.
Created at: March 30, 2026, 7:16 p.m.