Triple

T14504772
Position Surface form Disambiguated ID Type / Status
Subject Byala E340235 entity
Predicate hasOfficialName P66 FINISHED
Object Бяла
Бяла is a small Bulgarian town known for its location near the Black Sea coast and its mix of historical and seaside tourism attractions.
 E1103067 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: Бяла | Statement: [Byala, hasOfficialName, Бяла]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Бяла
Context triple: [Byala, hasOfficialName, Бяла]
  • A. Bijela
    Bijela is a coastal town in Montenegro situated along the Bay of Kotor, known for its maritime heritage and scenic Adriatic shoreline.
  • B. the White
    The White was the nickname of Leszek I, a 13th-century High Duke of Poland from the Piast dynasty known for his turbulent reign and conflicts over the Polish throne.
  • C. Bianco
    Bianco is an Italian surname commonly associated with individuals of Italian heritage, including the artist Enrico Bianco.
  • D. Blanc
    Blanc is the surname of Mel Blanc, the legendary American voice actor best known for bringing to life many iconic Looney Tunes characters.
  • E. Witte
    Witte is a surname most notably associated with Edwin E. Witte, an American economist often called the “father of Social Security” for his key role in shaping U.S. social welfare policy.
  • 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: Бяла
Triple: [Byala, hasOfficialName, Бяла]
Generated description
Бяла is a small Bulgarian town known for its location near the Black Sea coast and its mix of historical and seaside tourism attractions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Бяла
Target entity description: Бяла is a small Bulgarian town known for its location near the Black Sea coast and its mix of historical and seaside tourism attractions.
  • A. Bijela
    Bijela is a coastal town in Montenegro situated along the Bay of Kotor, known for its maritime heritage and scenic Adriatic shoreline.
  • B. the White
    The White was the nickname of Leszek I, a 13th-century High Duke of Poland from the Piast dynasty known for his turbulent reign and conflicts over the Polish throne.
  • C. Bianco
    Bianco is an Italian surname commonly associated with individuals of Italian heritage, including the artist Enrico Bianco.
  • D. Blanc
    Blanc is the surname of Mel Blanc, the legendary American voice actor best known for bringing to life many iconic Looney Tunes characters.
  • E. Witte
    Witte is a surname most notably associated with Edwin E. Witte, an American economist often called the “father of Social Security” for his key role in shaping U.S. social welfare policy.
  • 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_69d822d9c0408190b9a2b3643e58bb4d completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69de94e25a2481908b8394e9a19f3b64 completed April 14, 2026, 7:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd6d9dba1081909154362b922a2417 completed May 8, 2026, 4:59 a.m.
NEDg Description generation batch_69fd6f24431c81908a25ad81c28da56d completed May 8, 2026, 5:05 a.m.
NED2 Entity disambiguation (via description) batch_69fd6ff5a58881909987fa653e58a197 completed May 8, 2026, 5:09 a.m.
Created at: April 10, 2026, 1:21 a.m.