Triple

T12752133
Position Surface form Disambiguated ID Type / Status
Subject Vidin E304761 entity
Predicate hasFortress P11932 FINISHED
Object Baba Vida
Baba Vida is a well-preserved medieval fortress and major historical landmark located in the Danube city of Vidin in northwestern Bulgaria.
 E1000839 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: Baba Vida | Statement: [Vidin, hasFortress, Baba Vida]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Baba Vida
Context triple: [Vidin, hasFortress, Baba Vida]
  • A. Vaslav
    Vaslav is the given name of Vaslav Nijinsky, the legendary early 20th-century ballet dancer and choreographer renowned for his groundbreaking work with the Ballets Russes.
  • B. Vaska Pepel
    Vaska Pepel is a central character in Maxim Gorky's play "The Lower Depths," depicted as a young thief whose rough exterior masks a capacity for passion and moral conflict.
  • C. Béla
    Béla was a common medieval Hungarian royal given name borne by several kings, most notably Béla IV of Hungary.
  • D. Vasishka
    Vasishka was a Kushan emperor who ruled parts of northern India and Central Asia in the early 3rd century CE, known primarily from his inscriptions and coinage.
  • E. Bela Sheshe
    Bela Sheshe is a Bengali film best known for featuring legendary actor Soumitra Chatterjee in a prominent role.
  • 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: Baba Vida
Triple: [Vidin, hasFortress, Baba Vida]
Generated description
Baba Vida is a well-preserved medieval fortress and major historical landmark located in the Danube city of Vidin in northwestern Bulgaria.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Baba Vida
Target entity description: Baba Vida is a well-preserved medieval fortress and major historical landmark located in the Danube city of Vidin in northwestern Bulgaria.
  • A. Vaslav
    Vaslav is the given name of Vaslav Nijinsky, the legendary early 20th-century ballet dancer and choreographer renowned for his groundbreaking work with the Ballets Russes.
  • B. Vaska Pepel
    Vaska Pepel is a central character in Maxim Gorky's play "The Lower Depths," depicted as a young thief whose rough exterior masks a capacity for passion and moral conflict.
  • C. Béla
    Béla was a common medieval Hungarian royal given name borne by several kings, most notably Béla IV of Hungary.
  • D. Vasishka
    Vasishka was a Kushan emperor who ruled parts of northern India and Central Asia in the early 3rd century CE, known primarily from his inscriptions and coinage.
  • E. Bela Sheshe
    Bela Sheshe is a Bengali film best known for featuring legendary actor Soumitra Chatterjee in a prominent role.
  • 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_69d7bdf1fcd081909ffb0e0d6fa3a07d completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96bd9555081908b0d027bc332b468 completed April 10, 2026, 9:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69f67c98816881909dacdd4f0e2b89c4 completed May 2, 2026, 10:37 p.m.
NEDg Description generation batch_69f67e7416948190a08eb3de840def77 completed May 2, 2026, 10:45 p.m.
NED2 Entity disambiguation (via description) batch_69f67f7d237081908d3b6e8d759ea03e completed May 2, 2026, 10:49 p.m.
Created at: April 9, 2026, 5:27 p.m.