Triple

T20270783
Position Surface form Disambiguated ID Type / Status
Subject Haskovo Province E499085 entity
Predicate hasMajorCity P316 FINISHED
Object Lyubimets
Lyubimets is a small town in southern Bulgaria known for its agricultural production and location near the Greek and Turkish borders.
E1419989 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: Lyubimets | Statement: [Haskovo Province, hasMajorCity, Lyubimets]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lyubimets
Context triple: [Haskovo Province, hasMajorCity, Lyubimets]
  • A. Liuboml
    Liuboml is a small historic town in western Ukraine near the Polish border, known for its medieval roots and multicultural heritage.
  • B. Tsitska
    Tsitska is a Georgian white grape variety from the Imereti region, known for producing fresh, high-acidity wines often used in both still and sparkling styles.
  • C. Boria
    Boria is a deity from ancient Illyrian pagan religion, likely associated with natural forces or local tribal worship.
  • D. Krasava
    Krasava is a character from Czech legend and literature associated with the tale of Princess Libuše and the early history of Bohemia.
  • E. Lubja
    Lubja is a small village located within Viimsi Parish in northern Estonia, near the capital city of Tallinn.
  • 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: Lyubimets
Triple: [Haskovo Province, hasMajorCity, Lyubimets]
Generated description
Lyubimets is a small town in southern Bulgaria known for its agricultural production and location near the Greek and Turkish borders.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lyubimets
Target entity description: Lyubimets is a small town in southern Bulgaria known for its agricultural production and location near the Greek and Turkish borders.
  • A. Liuboml
    Liuboml is a small historic town in western Ukraine near the Polish border, known for its medieval roots and multicultural heritage.
  • B. Tsitska
    Tsitska is a Georgian white grape variety from the Imereti region, known for producing fresh, high-acidity wines often used in both still and sparkling styles.
  • C. Boria
    Boria is a deity from ancient Illyrian pagan religion, likely associated with natural forces or local tribal worship.
  • D. Krasava
    Krasava is a character from Czech legend and literature associated with the tale of Princess Libuše and the early history of Bohemia.
  • E. Lubja
    Lubja is a small village located within Viimsi Parish in northern Estonia, near the capital city of Tallinn.
  • 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_69da6275fa6c8190952924930adee150 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e675dd7c58819095bbf4baeda04d6a completed April 20, 2026, 6:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08553934dc8190bbfc93d01dbff4a4 completed May 16, 2026, 11:30 a.m.
NEDg Description generation batch_6a0855b26f0081909c2b74b888e0cd25 completed May 16, 2026, 11:32 a.m.
NED2 Entity disambiguation (via description) batch_6a08567e39548190bd201d744e5fa7e9 completed May 16, 2026, 11:35 a.m.
Created at: April 11, 2026, 11:42 p.m.