Triple

T12914372
Position Surface form Disambiguated ID Type / Status
Subject Mil Mi-6 E308937 entity
Predicate payloadExternal_kg P106985 FINISHED
Object 9000 LITERAL FINISHED

How this triple was built (2 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: 9000 | Statement: [Mil Mi-6, payloadExternal_kg, 9000]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: payloadExternal_kg
Context triple: [Mil Mi-6, payloadExternal_kg, 9000]
  • A. payloadSpecialist
    Indicates that an entity serves in the role of a payload specialist, responsible for managing or operating specific payloads or experiments in a mission or operation.
  • B. payloadCustomer
    Indicates that a customer is associated with or carried as the payload within a given data structure, message, or transaction.
  • C. usesPayload
    Indicates that one entity employs or utilizes another entity as its payload in performing an action or function.
  • D. payloadRole
    Indicates the functional role or purpose that a payload has within a system, process, or interaction.
  • E. secondaryPayload
    Indicates that an entity serves as an additional or subordinate payload associated with a primary payload in an action or relationship.
  • F. None of above. chosen

Provenance (4 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_69d7bdf92b588190acdf2a2291ac4590 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d971a0d6508190bca9668e9e06abfe completed April 10, 2026, 9:54 p.m.
PD Predicate disambiguation batch_69d96fa9b7708190a9e9fa30f59ff580 completed April 10, 2026, 9:46 p.m.
PDg Predicate description generation batch_69d9708a86bc8190bcdcf97e845bb413 completed April 10, 2026, 9:50 p.m.
Created at: April 9, 2026, 5:41 p.m.