Triple

T5846830
Position Surface form Disambiguated ID Type / Status
Subject Southeastern Iranian languages E129731 entity
Predicate hasNotableLanguage P7390 FINISHED
Object Rushani
Rushani is an Eastern Iranian language spoken primarily in the Rushan region of Tajikistan and neighboring areas.
 E549723 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: Rushani | Statement: [Southeastern Iranian languages, hasNotableLanguage, Rushani]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rushani
Context triple: [Southeastern Iranian languages, hasNotableLanguage, Rushani]
  • A. Barshaini
    Barshaini is a small Himalayan village in Himachal Pradesh, India, that serves as a popular base and trailhead for treks into the Parvati Valley and surrounding high-altitude landscapes.
  • B. Shimsha
    Shimsha is a river in southern India that flows through Karnataka and is known for its waterfalls and contribution to the Kaveri river system.
  • C. Rushan
    Rushan is a county-level coastal city in eastern Shandong Province, China, known for its fishing industry, beaches, and marine-based economy.
  • D. Tarana
    Tarana is the first name of Tarana Burke, the American civil rights activist who founded the Me Too movement.
  • E. Chanda
    Chanda was a historical kingdom associated with the Gond people, an indigenous community of central India.
  • 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: Rushani
Triple: [Southeastern Iranian languages, hasNotableLanguage, Rushani]
Generated description
Rushani is an Eastern Iranian language spoken primarily in the Rushan region of Tajikistan and neighboring areas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rushani
Target entity description: Rushani is an Eastern Iranian language spoken primarily in the Rushan region of Tajikistan and neighboring areas.
  • A. Barshaini
    Barshaini is a small Himalayan village in Himachal Pradesh, India, that serves as a popular base and trailhead for treks into the Parvati Valley and surrounding high-altitude landscapes.
  • B. Shimsha
    Shimsha is a river in southern India that flows through Karnataka and is known for its waterfalls and contribution to the Kaveri river system.
  • C. Rushan
    Rushan is a county-level coastal city in eastern Shandong Province, China, known for its fishing industry, beaches, and marine-based economy.
  • D. Tarana
    Tarana is the first name of Tarana Burke, the American civil rights activist who founded the Me Too movement.
  • E. Chanda
    Chanda was a historical kingdom associated with the Gond people, an indigenous community of central India.
  • 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_69c0084bd31c8190a796bb6284845e83 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0351157508190a78d2a7141e0cee8 completed March 22, 2026, 6:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0a1ad4d888190b4a1e605887b2e2c completed March 23, 2026, 2:13 a.m.
NEDg Description generation batch_69c0a27765688190b02a1b0cd39a87fe completed March 23, 2026, 2:16 a.m.
NED2 Entity disambiguation (via description) batch_69c0a2fd7ec081909033994e5556a6ae completed March 23, 2026, 2:18 a.m.
Created at: March 22, 2026, 3:55 p.m.