Triple

T25599368
Position Surface form Disambiguated ID Type / Status
Subject City Garden of Sofia E641742 entity
Predicate officialNameInBulgarian P41322 FINISHED
Object Градска градина
Градска градина е най-старата обществена градска градина в София, разположена в центъра на града срещу Народния театър „Иван Вазов“ и популярно място за отдих и културни събития.
 E1686482 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: Градска градина | Statement: [City Garden of Sofia, officialNameInBulgarian, Градска градина]
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: Градска градина
Triple: [City Garden of Sofia, officialNameInBulgarian, Градска градина]
Generated description
Градска градина е най-старата обществена градска градина в София, разположена в центъра на града срещу Народния театър „Иван Вазов“ и популярно място за отдих и културни събития.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: officialNameInBulgarian
Context triple: [City Garden of Sofia, officialNameInBulgarian, Градска градина]
  • A. nameInBulgarian chosen
    Indicates that an entity is referred to by a specific name when expressed in the Bulgarian language.
  • B. officeHolderTitleInBulgarian
    Indicates the official title or designation of an office holder as expressed in the Bulgarian language.
  • C. officialName
    Indicates the formally recognized name assigned to an entity by an authoritative body or source.
  • D. commanderForBulgaria
    Indicates that an entity serves or has served in the role of commander on behalf of, or in the service of, Bulgaria.
  • E. primaryBulgarLeaderTitle
    Indicates the official title held by the main or highest-ranking leader in Bulgaria.
  • 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_69e75dc60d108190b7e2419e36b0134b completed April 21, 2026, 11:21 a.m.
NER Named-entity recognition batch_69f6a8df16a88190a23820e64a3b1f92 completed May 3, 2026, 1:46 a.m.
NED1 Entity disambiguation (via context triple) batch_6a10b7708fc08190bee8f889b590077a completed May 22, 2026, 8:07 p.m.
NEDg Description generation batch_6a10b84ad3ac8190b78bec4cd68a84e8 completed May 22, 2026, 8:10 p.m.
NED2 Entity disambiguation (via description) batch_6a10b97dedd48190858687f050f15f7b completed May 22, 2026, 8:15 p.m.
PD Predicate disambiguation batch_69f6a751d5e48190a77dcecbe7ef9f0b completed May 3, 2026, 1:39 a.m.
Created at: April 21, 2026, 4:30 p.m.