Triple

T22959104
Position Surface form Disambiguated ID Type / Status
Subject Siwi language E570843 entity
Predicate hasAlternativeName P39 FINISHED
Object Tasewwit
Tasewwit is an alternative name for the Siwi language, a Berber language spoken in Egypt’s Siwa Oasis.
 E1563070 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: Tasewwit | Statement: [Siwi language, hasAlternativeName, Tasewwit]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tasewwit
Context triple: [Siwi language, hasAlternativeName, Tasewwit]
  • A. Nisswa
    Nisswa is a small resort city in central Minnesota known for its lakes, tourism, and outdoor recreation.
  • B. Tayshet
    Tayshet is a town in Irkutsk Oblast, Russia, known as a major railway junction in Siberia.
  • C. Tamsalu
    Tamsalu is a small town in northern Estonia known for its historical railway connections and location within Lääne-Viru County.
  • D. Tawu
    Tawu is the indigenous name used by the Tao people, an Austronesian ethnic group native to Orchid Island in Taiwan.
  • E. Tsilivi
    Tsilivi is a popular seaside resort village on the Greek island of Zakynthos, known for its sandy beach, family-friendly atmosphere, and vibrant tourist facilities.
  • 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: Tasewwit
Triple: [Siwi language, hasAlternativeName, Tasewwit]
Generated description
Tasewwit is an alternative name for the Siwi language, a Berber language spoken in Egypt’s Siwa Oasis.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tasewwit
Target entity description: Tasewwit is an alternative name for the Siwi language, a Berber language spoken in Egypt’s Siwa Oasis.
  • A. Nisswa
    Nisswa is a small resort city in central Minnesota known for its lakes, tourism, and outdoor recreation.
  • B. Tayshet
    Tayshet is a town in Irkutsk Oblast, Russia, known as a major railway junction in Siberia.
  • C. Tamsalu
    Tamsalu is a small town in northern Estonia known for its historical railway connections and location within Lääne-Viru County.
  • D. Tawu
    Tawu is the indigenous name used by the Tao people, an Austronesian ethnic group native to Orchid Island in Taiwan.
  • E. Tsilivi
    Tsilivi is a popular seaside resort village on the Greek island of Zakynthos, known for its sandy beach, family-friendly atmosphere, and vibrant tourist facilities.
  • 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_69e245b212a88190b5259caf51606084 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f181f2ce9c8190977f146771816341 completed April 29, 2026, 3:58 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0bca1dcb348190ae77148ac6c9ecff completed May 19, 2026, 2:25 a.m.
NEDg Description generation batch_6a0bcaad8ba081908008b333976e5cfe completed May 19, 2026, 2:27 a.m.
NED2 Entity disambiguation (via description) batch_6a0bcb4df0308190824c0ad812daf361 completed May 19, 2026, 2:30 a.m.
Created at: April 17, 2026, 3:47 p.m.