Triple

T27995322
Position Surface form Disambiguated ID Type / Status
Subject AK-630 E706995 entity
Predicate mountDesignation P163608 FINISHED
Object A-213
A-213 is a specific naval gun mount variant used to install and operate the Soviet/Russian AK-630 close-in weapon system on warships.
E1796197 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: A-213 | Statement: [AK-630, mountDesignation, A-213]
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: A-213
Triple: [AK-630, mountDesignation, A-213]
Generated description
A-213 is a specific naval gun mount variant used to install and operate the Soviet/Russian AK-630 close-in weapon system on warships.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: mountDesignation
Context triple: [AK-630, mountDesignation, A-213]
  • A. mapDesignation
    Indicates a formal label or identifier that is assigned to something specifically for use on a map.
  • B. bdDesignation
    Indicates that one entity is formally assigned or designated as having a particular role, status, or classification in relation to another entity.
  • C. exampleDesignation
    Indicates that one entity is identified or labeled as a representative or illustrative instance of another entity.
  • D. collectionDesignation
    Indicates that one entity assigns or specifies a particular collection label or designation for another entity.
  • E. clusterDesignation
    Indicates that an entity is assigned to or identified as part of a specific cluster or grouping.
  • F. None of above. chosen

Provenance (7 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_69ef96b980d88190a753b2f9a978595a completed April 27, 2026, 5:02 p.m.
NER Named-entity recognition batch_69f63baa8ce081909988f71080b086dc completed May 2, 2026, 6 p.m.
NED1 Entity disambiguation (via context triple) batch_6a13118723008190bd7a8cd7e610e95f completed May 24, 2026, 2:56 p.m.
NEDg Description generation batch_6a131221c2988190a631f02ba9c5f6b4 completed May 24, 2026, 2:58 p.m.
NED2 Entity disambiguation (via description) batch_6a13143573d881908f94a0403cf70ceb completed May 24, 2026, 3:07 p.m.
PD Predicate disambiguation batch_69f63710d17c819084cfe96e6df334fd completed May 2, 2026, 5:40 p.m.
PDg Predicate description generation batch_69f63893cc188190883ac9321a95d2dc completed May 2, 2026, 5:46 p.m.
Created at: April 27, 2026, 7:53 p.m.