Triple

T15838336
Position Surface form Disambiguated ID Type / Status
Subject Yasawiyya Sufi tradition E384038 entity
Predicate originPlace P3743 FINISHED
Object Yasi
Yasi is a historic Central Asian city closely associated with early Turkic Sufism and the development of the Yasawiyya order.
 E1179632 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: Yasi | Statement: [Yasawiyya Sufi tradition, originPlace, Yasi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Yasi
Context triple: [Yasawiyya Sufi tradition, originPlace, Yasi]
  • A. Winya
    Winya is a small rural town located within Queensland’s Somerset Region in Australia.
  • B. Yamba
    Yamba is a coastal town in northern New South Wales, Australia, known for its beaches, fishing, and laid-back holiday atmosphere.
  • C. Alwina
    Alwina is the naive Tunisian shepherdess who becomes a sophisticated Parisian socialite in the 1935 French film "Princesse Tam-Tam."
  • D. Orana
    Orana is a large, predominantly rural region in inland New South Wales, Australia, known for its agricultural production and regional service centers such as Dubbo.
  • E. Bambarra
    Bambarra is a small coastal village on Middle Caicos in the Turks and Caicos Islands, known for its historical links to African heritage and its tranquil, undeveloped beaches.
  • 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: Yasi
Triple: [Yasawiyya Sufi tradition, originPlace, Yasi]
Generated description
Yasi is a historic Central Asian city closely associated with early Turkic Sufism and the development of the Yasawiyya order.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Yasi
Target entity description: Yasi is a historic Central Asian city closely associated with early Turkic Sufism and the development of the Yasawiyya order.
  • A. Winya
    Winya is a small rural town located within Queensland’s Somerset Region in Australia.
  • B. Yamba
    Yamba is a coastal town in northern New South Wales, Australia, known for its beaches, fishing, and laid-back holiday atmosphere.
  • C. Alwina
    Alwina is the naive Tunisian shepherdess who becomes a sophisticated Parisian socialite in the 1935 French film "Princesse Tam-Tam."
  • D. Orana
    Orana is a large, predominantly rural region in inland New South Wales, Australia, known for its agricultural production and regional service centers such as Dubbo.
  • E. Bambarra
    Bambarra is a small coastal village on Middle Caicos in the Turks and Caicos Islands, known for its historical links to African heritage and its tranquil, undeveloped beaches.
  • 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_69d86da34c888190976e06c4019d415a completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e142e3d48c8190ad0d0af89d062101 completed April 16, 2026, 8:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa13c931481908ed9fd10fddd867c completed May 9, 2026, 9:03 p.m.
NEDg Description generation batch_69ffa419c6dc81908c9678f8434530f8 completed May 9, 2026, 9:16 p.m.
NED2 Entity disambiguation (via description) batch_69ffa4cff5088190a7f11fd62941f4fb completed May 9, 2026, 9:19 p.m.
Created at: April 10, 2026, 4:49 a.m.