Triple

T9572495
Position Surface form Disambiguated ID Type / Status
Subject Volga Bulgaria historical area E230958 entity
Predicate significantSettlement P8239 FINISHED
Object Suvar
Suvar was an important medieval town and trading center in Volga Bulgaria, serving as one of the region’s key political and economic hubs.
 E808962 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: Suvar | Statement: [Volga Bulgaria historical area, significantSettlement, Suvar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Suvar
Context triple: [Volga Bulgaria historical area, significantSettlement, Suvar]
  • A. Sukeva
    Sukeva is a village in northern Finland best known for housing the Sukevan vankila prison facility.
  • B. Suen
    Suen is the Sumerian moon god, later known as Sin in Akkadian mythology, associated with the lunar cycle, wisdom, and divination.
  • C. Sivaraksa
    Sivaraksa is the surname of Sulak Sivaraksa, a prominent Thai social activist, intellectual, and proponent of engaged Buddhism.
  • D. Susitnu
    Susitnu is the Indigenous (Dena’ina) name for Alaska’s Susitna River, a major waterway in south-central Alaska.
  • E. Suau
    Suau is an Oceanic language spoken by communities in southeastern Papua New Guinea, particularly in Milne Bay Province.
  • 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: Suvar
Triple: [Volga Bulgaria historical area, significantSettlement, Suvar]
Generated description
Suvar was an important medieval town and trading center in Volga Bulgaria, serving as one of the region’s key political and economic hubs.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Suvar
Target entity description: Suvar was an important medieval town and trading center in Volga Bulgaria, serving as one of the region’s key political and economic hubs.
  • A. Sukeva
    Sukeva is a village in northern Finland best known for housing the Sukevan vankila prison facility.
  • B. Suen
    Suen is the Sumerian moon god, later known as Sin in Akkadian mythology, associated with the lunar cycle, wisdom, and divination.
  • C. Sivaraksa
    Sivaraksa is the surname of Sulak Sivaraksa, a prominent Thai social activist, intellectual, and proponent of engaged Buddhism.
  • D. Susitnu
    Susitnu is the Indigenous (Dena’ina) name for Alaska’s Susitna River, a major waterway in south-central Alaska.
  • E. Suau
    Suau is an Oceanic language spoken by communities in southeastern Papua New Guinea, particularly in Milne Bay Province.
  • 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_69ca847f22188190a56e4a97625bef22 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd998d79cc8190b94e5953915a5fa4 completed April 1, 2026, 10:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1614f33108190901e3037654c50ab completed April 4, 2026, 7:06 p.m.
NEDg Description generation batch_69d163f5ec3881909d179f50dca1edb6 completed April 4, 2026, 7:18 p.m.
NED2 Entity disambiguation (via description) batch_69d16450213c8190a7a0c97eb32422af completed April 4, 2026, 7:19 p.m.
Created at: March 30, 2026, 8:04 p.m.