Triple

T9572494
Position Surface form Disambiguated ID Type / Status
Subject Volga Bulgaria historical area E230958 entity
Predicate capital P234 FINISHED
Object Bilär
Bilär was a major medieval city that served as a key political and commercial center of Volga Bulgaria.
E807662 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: Bilär | Statement: [Volga Bulgaria historical area, capital, Bilär]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bilär
Context triple: [Volga Bulgaria historical area, capital, Bilär]
  • A. Bilen
    Bilen is a Cushitic language spoken primarily by the Bilen people in central Eritrea.
  • B. Bilröst
    Bilröst is an alternate name for Bifröst, the rainbow bridge in Norse mythology that connects the realm of the gods to the world of humans.
  • C. Bilara
    Bilara is a town in the Indian state of Rajasthan, known as a local commercial and administrative center within the Jodhpur region.
  • D. Musina
    Musina is a northern South African town in Limpopo Province, known as a key border and transport hub near Zimbabwe and for its history of copper and iron ore mining.
  • E. Biqueli
    Biqueli is a small coastal settlement on Atauro Island in East Timor, known for its fishing community and proximity to coral reefs.
  • 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: Bilär
Triple: [Volga Bulgaria historical area, capital, Bilär]
Generated description
Bilär was a major medieval city that served as a key political and commercial center of Volga Bulgaria.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bilär
Target entity description: Bilär was a major medieval city that served as a key political and commercial center of Volga Bulgaria.
  • A. Bilen
    Bilen is a Cushitic language spoken primarily by the Bilen people in central Eritrea.
  • B. Bilröst
    Bilröst is an alternate name for Bifröst, the rainbow bridge in Norse mythology that connects the realm of the gods to the world of humans.
  • C. Bilara
    Bilara is a town in the Indian state of Rajasthan, known as a local commercial and administrative center within the Jodhpur region.
  • D. Musina
    Musina is a northern South African town in Limpopo Province, known as a key border and transport hub near Zimbabwe and for its history of copper and iron ore mining.
  • E. Biqueli
    Biqueli is a small coastal settlement on Atauro Island in East Timor, known for its fishing community and proximity to coral reefs.
  • 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_69d152bf5c548190b6c33cc49e418ef7 completed April 4, 2026, 6:04 p.m.
NEDg Description generation batch_69d15404e9508190b5d9f1239586ab9a completed April 4, 2026, 6:10 p.m.
NED2 Entity disambiguation (via description) batch_69d1546a503c81908edc9588adabc172 completed April 4, 2026, 6:11 p.m.
Created at: March 30, 2026, 8:04 p.m.