Triple

T36128415
Position Surface form Disambiguated ID Type / Status
Subject VL Pyörremyrsky E1044946 entity
Predicate registrationOrCode P184724 FINISHED
Object VH-201
VH-201 was the prototype Finnish VL Pyörremyrsky World War II-era fighter aircraft.
 E2170862 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: VH-201 | Statement: [VL Pyörremyrsky, registrationOrCode, VH-201]
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: VH-201
Triple: [VL Pyörremyrsky, registrationOrCode, VH-201]
Generated description
VH-201 was the prototype Finnish VL Pyörremyrsky World War II-era fighter aircraft.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: registrationOrCode
Context triple: [VL Pyörremyrsky, registrationOrCode, VH-201]
  • A. registrationOf
    Indicates that one entity is the formal record or enrollment of another entity in an official system, registry, or process.
  • B. registrationFor
    Indicates a relationship where one entity is enrolled, signed up, or formally recorded to participate in, use, or be associated with another entity (such as an event, service, or program).
  • C. register
    Indicates that an entity formally records or enrolls another entity or itself in an official system, list, or record.
  • D. registrationModel
    Indicates the model, schema, or structure used to define how registrations are represented, processed, or stored in the system.
  • E. registro
    Indicates that an entity is recorded, registered, or entered into an official or systematic record.
  • 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_69f76e356c908190abc6ca1e6a05b011 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7b3e2f3c08190be4fd1ae4fa1266d completed May 3, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_6a38de1321348190a10da47fcb564fe7 completed June 22, 2026, 7:02 a.m.
NEDg Description generation batch_6a38fafba2ec8190bf3bbd567a8d13bf completed June 22, 2026, 9:06 a.m.
NED2 Entity disambiguation (via description) batch_6a38fbe826e08190a861f5fc88d8da9d completed June 22, 2026, 9:10 a.m.
PD Predicate disambiguation batch_69f7b1bcc47081909fe7d592ac69006c completed May 3, 2026, 8:36 p.m.
PDg Predicate description generation batch_69f7b3e0f1c88190985feab6cee8b05e completed May 3, 2026, 8:45 p.m.
Created at: May 3, 2026, 4:08 p.m.