Triple

T2682436
Position Surface form Disambiguated ID Type / Status
Subject BCS E57402 entity
Predicate usedComputerRankings P41467 FINISHED
Object multiple computer ranking 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: multiple computer ranking systems | Statement: [BCS, usedComputerRankings, multiple computer ranking systems]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usedComputerRankings
Context triple: [BCS, usedComputerRankings, multiple computer ranking systems]
  • A. usedInComputerFamily
    Indicates that something (such as a component, technology, or design) is employed within or forms part of a particular family or line of computers.
  • B. hardwareUsedBy
    Indicates that a piece of hardware is utilized or operated by a particular entity (such as a person, system, or organization).
  • C. computes
    Indicates that one entity performs a calculation or processing operation to produce a result from given data or inputs.
  • D. hasComputerWorkstations
    Indicates that an entity is equipped with or provides access to computer workstations.
  • E. hardwareUsed
    Indicates that a particular piece of hardware is utilized or employed in performing an action, process, or function involving another entity.
  • 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_69ab4a5028388190a36f3baf1588309e completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd9d602848190b638e417e710a555 completed March 7, 2026, 7:55 a.m.
PD Predicate disambiguation batch_69abd81c9b4c81908e5e0da6ac5f828b completed March 7, 2026, 7:47 a.m.
PDg Predicate description generation batch_69abd891bcd481909af5340a64ff69f9 completed March 7, 2026, 7:49 a.m.
Created at: March 6, 2026, 9:54 p.m.