Triple

T37279301
Position Surface form Disambiguated ID Type / Status
Subject Timok River E925334 entity
Predicate hasNameInBulgarianCyrillic P41322 FINISHED
Object Тимок
Тимок — это река на Балканском полуострове, протекающая по территории Сербии и Болгарии и впадающая в Дунай.
E2220973 NE FINISHED

How this triple was built (3 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: Тимок | Statement: [Timok River, hasNameInBulgarianCyrillic, Тимок]
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: Тимок
Triple: [Timok River, hasNameInBulgarianCyrillic, Тимок]
Generated description
Тимок — это река на Балканском полуострове, протекающая по территории Сербии и Болгарии и впадающая в Дунай.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasNameInBulgarianCyrillic
Context triple: [Timok River, hasNameInBulgarianCyrillic, Тимок]
  • A. hasNameInBosnianCyrillic
    Indicates that an entity is associated with a specific name written in Bosnian Cyrillic script.
  • B. hasNameInSlavonic
    Indicates that an entity has a specific name or designation expressed in a Slavonic language.
  • C. nameInBulgarian chosen
    Indicates that an entity is referred to by a specific name when expressed in the Bulgarian language.
  • D. hasNameInRusyn
    Indicates that an entity has a specific name or label expressed in the Rusyn language.
  • E. CyrillicName
    Indicates that an entity has a name written in the Cyrillic script.
  • F. None of above.

Provenance (6 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_69f76eafe20c8190856d3b996a4c31a7 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69ff97637ad881908c24fe2cc6b036db completed May 9, 2026, 8:21 p.m.
NED1 Entity disambiguation (via context triple) batch_6a405139b2dc8190b17268f0b3cf2489 completed June 27, 2026, 10:39 p.m.
NEDg Description generation batch_6a4051ded42c8190bf747ed5198d2d34 completed June 27, 2026, 10:42 p.m.
NED2 Entity disambiguation (via description) batch_6a40537de5a0819080de0ad4b33343fa completed June 27, 2026, 10:49 p.m.
PD Predicate disambiguation batch_69ff96c43a808190942eeda1934602db completed May 9, 2026, 8:19 p.m.
Created at: May 3, 2026, 4:16 p.m.