Triple

T14096420
Position Surface form Disambiguated ID Type / Status
Subject Harsusi language E339263 entity
Predicate hasAlternativeName P39 FINISHED
Object Harsiyyet
Harsiyyet is an alternative name for the Harsusi language, a Modern South Arabian language spoken by a small community in Oman.
 E1079440 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: Harsiyyet | Statement: [Harsusi language, hasAlternativeName, Harsiyyet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Harsiyyet
Context triple: [Harsusi language, hasAlternativeName, Harsiyyet]
  • A. Khasar
    Khasar was a famed Mongol general and younger brother of Genghis Khan, renowned for his exceptional archery skills and key role in the early Mongol conquests.
  • B. Haisyn
    Haisyn is a city in central Ukraine known as a local administrative and economic center within Vinnytsia Oblast.
  • C. Galiyat
    Galiyat is a scenic, forested hill region in northern Pakistan known for its cool climate, mountain views, and popular tourist resorts such as Nathia Gali and Ayubia.
  • D. القرداحة
    القرداحة هي مدينة سورية صغيرة في محافظة اللاذقية تُعرف بأنها مسقط رأس عائلة الأسد الحاكمة ومركز نفوذ سياسي مهم.
  • E. Haradwaith
    Haradwaith is a southern region of Middle-earth in J.R.R. Tolkien’s legendarium, inhabited by the Haradrim and known for its alliance with Sauron against Gondor.
  • 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: Harsiyyet
Triple: [Harsusi language, hasAlternativeName, Harsiyyet]
Generated description
Harsiyyet is an alternative name for the Harsusi language, a Modern South Arabian language spoken by a small community in Oman.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Harsiyyet
Target entity description: Harsiyyet is an alternative name for the Harsusi language, a Modern South Arabian language spoken by a small community in Oman.
  • A. Khasar
    Khasar was a famed Mongol general and younger brother of Genghis Khan, renowned for his exceptional archery skills and key role in the early Mongol conquests.
  • B. Haisyn
    Haisyn is a city in central Ukraine known as a local administrative and economic center within Vinnytsia Oblast.
  • C. Galiyat
    Galiyat is a scenic, forested hill region in northern Pakistan known for its cool climate, mountain views, and popular tourist resorts such as Nathia Gali and Ayubia.
  • D. القرداحة
    القرداحة هي مدينة سورية صغيرة في محافظة اللاذقية تُعرف بأنها مسقط رأس عائلة الأسد الحاكمة ومركز نفوذ سياسي مهم.
  • E. Haradwaith
    Haradwaith is a southern region of Middle-earth in J.R.R. Tolkien’s legendarium, inhabited by the Haradrim and known for its alliance with Sauron against Gondor.
  • 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_69d81c69b5c8819094aa1abf18302908 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de5fb926288190a7f0f50d1d585d76 completed April 14, 2026, 3:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcd0ac02488190b2114eb63ec604c3 completed May 7, 2026, 5:49 p.m.
NEDg Description generation batch_69fcd21a2a408190ab335e99fcbbd9ae completed May 7, 2026, 5:55 p.m.
NED2 Entity disambiguation (via description) batch_69fcd2e1b2ec81909caab1bfc6394258 completed May 7, 2026, 5:58 p.m.
Created at: April 9, 2026, 10:22 p.m.