Triple

T29009165
Position Surface form Disambiguated ID Type / Status
Subject Government of Artsakh E736515 entity
Predicate hadCabinet P10249 FINISHED
Object Cabinet of Ministers of Artsakh
The Cabinet of Ministers of Artsakh was the executive body responsible for implementing laws and administering government policy in the self-proclaimed Republic of Artsakh (Nagorno-Karabakh).
 E736515 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: Cabinet of Ministers of Artsakh | Statement: [Government of Artsakh, hadCabinet, Cabinet of Ministers of Artsakh]
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: Cabinet of Ministers of Artsakh
Triple: [Government of Artsakh, hadCabinet, Cabinet of Ministers of Artsakh]
Generated description
The Cabinet of Ministers of Artsakh was the executive body responsible for implementing laws and administering government policy in the self-proclaimed Republic of Artsakh (Nagorno-Karabakh).
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hadCabinet
Context triple: [Government of Artsakh, hadCabinet, Cabinet of Ministers of Artsakh]
  • A. hasCabinet chosen
    Indicates that one entity possesses, includes, or is equipped with a cabinet associated with it.
  • B. cabinet
    Indicates that one entity serves as a cabinet (a storage or enclosure unit) for another entity.
  • C. cabinetType
    Indicates the specific kind or category of cabinet associated with an entity.
  • D. hasCabinetName
    Indicates that an entity is associated with a specific cabinet by its name.
  • E. cabinetRequires
    Indicates that a particular cabinet depends on or needs another specified item, condition, or component to be present or satisfied.
  • 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_69f077eb81e88190ad9ff62cbb9f555e completed April 28, 2026, 9:03 a.m.
NER Named-entity recognition batch_69f65fda92188190b20bfd59902ed27d completed May 2, 2026, 8:34 p.m.
NED1 Entity disambiguation (via context triple) batch_6a25699db0008190825341f30e4b3d3f completed June 7, 2026, 12:52 p.m.
NEDg Description generation batch_6a256da280f081909ef24f37f6eaf0af completed June 7, 2026, 1:09 p.m.
NED2 Entity disambiguation (via description) batch_6a257152da848190a8a013cd159d7032 completed June 7, 2026, 1:25 p.m.
PD Predicate disambiguation batch_69f659d297cc8190b2b962ba30a1edb3 completed May 2, 2026, 8:08 p.m.
Created at: April 28, 2026, 9:40 a.m.