Triple

T23302400
Position Surface form Disambiguated ID Type / Status
Subject 3GPP2 E590337 entity
Predicate developsSpecificationFor P30412 FINISHED
Object CDMA2000-based mobile 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: CDMA2000-based mobile systems | Statement: [3GPP2, developsSpecificationFor, CDMA2000-based mobile systems]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: developsSpecificationFor
Context triple: [3GPP2, developsSpecificationFor, CDMA2000-based mobile systems]
  • A. developsComponentFor
    Indicates that one entity creates or builds a component intended to be used by or within another entity.
  • B. developsWhen
    Indicates that one condition, feature, or state comes into existence or forms as a result of another condition, feature, or state.
  • C. developmentFor
    Indicates that one entity is created, adapted, or advanced specifically for the benefit, use, or purpose of another entity.
  • D. developsStandardsFor chosen
    Indicates that one entity creates, defines, or establishes formal standards, guidelines, or specifications for another entity or domain.
  • E. developsTechnologyFor
    Indicates that one entity creates, improves, or engineers technology specifically intended to be used by or to benefit 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_69e25d1c0ecc8190a355aa229f06d0e0 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1972406a08190bbf355cc7a9f8432 completed April 29, 2026, 5:29 a.m.
PD Predicate disambiguation batch_69effcf325f88190b320268c3c551abb completed April 28, 2026, 12:18 a.m.
Created at: April 17, 2026, 5:04 p.m.