Triple

T12650160
Position Surface form Disambiguated ID Type / Status
Subject Evros River E302134 entity
Predicate BulgarianName P41322 FINISHED
Object Марица
Марица is the Bulgarian name for the Maritsa (Evros) River, a major waterway in the Balkans that flows through Bulgaria, Greece, and Turkey before emptying into the Aegean Sea.
 E1001809 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: Марица | Statement: [Evros River, BulgarianName, Марица]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Марица
Context triple: [Evros River, BulgarianName, Марица]
  • A. Kresna
    Kresna is a small town in southwestern Bulgaria known for its proximity to the scenic Kresna Gorge and the Struma River.
  • B. Миджур
    Миджур е планински връх в Западна Стара планина на границата между България и Сърбия, известен като най-високия връх в сръбската част на Балкана.
  • C. Dravinja
    Dravinja is a river in northeastern Slovenia that flows through the Dravinja Valley before joining the Drava River.
  • D. Руза
    Руза — это река в Московской области России, являющаяся притоком реки Москвы и давшая название городу Руза.
  • E. Dzvina
    Dzvina is the Belarusian name for the Daugava River, a major Eastern European river flowing through Russia, Belarus, and Latvia into the Baltic Sea.
  • 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: Марица
Triple: [Evros River, BulgarianName, Марица]
Generated description
Марица is the Bulgarian name for the Maritsa (Evros) River, a major waterway in the Balkans that flows through Bulgaria, Greece, and Turkey before emptying into the Aegean Sea.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Марица
Target entity description: Марица is the Bulgarian name for the Maritsa (Evros) River, a major waterway in the Balkans that flows through Bulgaria, Greece, and Turkey before emptying into the Aegean Sea.
  • A. Kresna
    Kresna is a small town in southwestern Bulgaria known for its proximity to the scenic Kresna Gorge and the Struma River.
  • B. Миджур
    Миджур е планински връх в Западна Стара планина на границата между България и Сърбия, известен като най-високия връх в сръбската част на Балкана.
  • C. Dravinja
    Dravinja is a river in northeastern Slovenia that flows through the Dravinja Valley before joining the Drava River.
  • D. Руза
    Руза — это река в Московской области России, являющаяся притоком реки Москвы и давшая название городу Руза.
  • E. Dzvina
    Dzvina is the Belarusian name for the Daugava River, a major Eastern European river flowing through Russia, Belarus, and Latvia into the Baltic Sea.
  • 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_69d7bdec9f9c8190b4bac675b7588211 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9615f28cc81908e37249d7ab5ed74 completed April 10, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f684dd133481909ce06b8b1fd5a5e3 completed May 2, 2026, 11:12 p.m.
NEDg Description generation batch_69f6863fada48190afe2ff7896a60094 completed May 2, 2026, 11:18 p.m.
NED2 Entity disambiguation (via description) batch_69f686bcac94819088782273effbb06a completed May 2, 2026, 11:20 p.m.
Created at: April 9, 2026, 5:18 p.m.