Triple

T31583588
Position Surface form Disambiguated ID Type / Status
Subject Data General AViiON E805888 entity
Predicate laterModelsUsed P78180 FINISHED
Object Intel processors 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: Intel processors | Statement: [Data General AViiON, laterModelsUsed, Intel processors]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: laterModelsUsed
Context triple: [Data General AViiON, laterModelsUsed, Intel processors]
  • A. laterUsedTechnology
    Indicates that one entity adopted or employed a technology after another entity had already used it.
  • B. laterUsedBy
    Indicates that something is subsequently utilized or employed by a specified entity at a later time.
  • C. laterEquipment chosen
    Indicates that one piece of equipment occurs, is installed, or is used at a later time than another piece of equipment.
  • D. laterEquipmentType
    Indicates that one equipment type occurs or is used at a later time relative to another equipment type.
  • E. formerlyUsedBy
    Indicates that an entity was used by another entity in the past but is no longer in use by that entity.
  • F. None of above.

Provenance (3 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_69f348d3a86c8190a3e5e539a4dd125f completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69ff5285ed74819097e6e2a9084a079a completed May 9, 2026, 3:28 p.m.
PD Predicate disambiguation batch_69ff51fbe28881908ac8417dff9db81a completed May 9, 2026, 3:25 p.m.
Created at: April 30, 2026, 10:24 p.m.