Triple

T33051968
Position Surface form Disambiguated ID Type / Status
Subject LCD E845749 entity
Predicate dominantTechnologyFor P7517 FINISHED
Object computer monitors in the 2000s 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: computer monitors in the 2000s | Statement: [LCD, dominantTechnologyFor, computer monitors in the 2000s]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: dominantTechnologyFor
Context triple: [LCD, dominantTechnologyFor, computer monitors in the 2000s]
  • A. laterUsedTechnology
    Indicates that one entity adopted or employed a technology after another entity had already used it.
  • B. technologyType
    Indicates the specific kind or category of technology associated with an entity or relationship.
  • C. focusTechnology
    Indicates that an entity is centered on, specializes in, or primarily deals with a particular technology.
  • D. technologyCounterpartOf
    Indicates a relationship where one technology serves as an equivalent, alternative, or corresponding counterpart to another technology.
  • E. technologyTrend chosen
    Indicates a relationship where a technology is characterized as part of a broader pattern of change or direction in technological development over time.
  • 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_69f3495242e48190996a2cb2beab5455 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f78fd5a6388190bfda4bbb2e222e5b completed May 3, 2026, 6:11 p.m.
PD Predicate disambiguation batch_69f78e2ac3fc819081a45c6841375c8d completed May 3, 2026, 6:04 p.m.
Created at: May 1, 2026, 1:24 a.m.