Triple

T38110851
Position Surface form Disambiguated ID Type / Status
Subject Wide Area Information Servers E951649 entity
Predicate typicalClientPlatform P38304 FINISHED
Object Unix systems 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: Unix systems | Statement: [Wide Area Information Servers, typicalClientPlatform, Unix systems]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typicalClientPlatform
Context triple: [Wide Area Information Servers, typicalClientPlatform, Unix systems]
  • A. typicalPlatform chosen
    Indicates that something commonly or usually serves as the platform or environment on which another thing operates, appears, or is based.
  • B. usedPlatformType
    Indicates that an entity makes use of or operates on a particular type or category of platform.
  • C. platforms
    Indicates that one entity provides or serves as a base, medium, or environment that supports the operation, distribution, or presentation of another entity.
  • D. platformUsed
    Indicates that an action, event, or interaction was carried out using a particular platform (e.g., software, service, or system) as the medium or tool.
  • E. platformUsedFor
    Indicates that one entity serves as the platform, medium, or environment utilized to perform, host, or support the activities of another 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_69f76f065ed08190bdfb1b6d817f5b39 completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_6a037df1223c8190a5d61e4f8e6fd613 completed May 12, 2026, 7:22 p.m.
PD Predicate disambiguation batch_6a037a1ad6c48190bfe35d350c1b4751 completed May 12, 2026, 7:06 p.m.
Created at: May 3, 2026, 4:21 p.m.