Triple

T29371635
Position Surface form Disambiguated ID Type / Status
Subject AMPS E744869 entity
Predicate cellReuseConcept P96037 FINISHED
Object frequency reuse 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: frequency reuse | Statement: [AMPS, cellReuseConcept, frequency reuse]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: cellReuseConcept
Context triple: [AMPS, cellReuseConcept, frequency reuse]
  • A. keyReuse
    Indicates that the same key is used multiple times, rather than being uniquely generated or dedicated for a single use or context.
  • B. usesFrequencyReuse chosen
    Indicates that one entity applies the technique of reusing the same frequency channels across different locations or cells within a system or network.
  • C. reusability
    Indicates that an entity can be used multiple times or in multiple contexts without significant modification or degradation of function.
  • D. designedForReusability
    Indicates that something has been intentionally created or configured so it can be used multiple times without needing to be discarded or fundamentally rebuilt.
  • E. canBeRecycled
    Indicates that an item or material is suitable for processing so it can be reused or converted into new products instead of being discarded as waste.
  • 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_69f0a79ba954819094597628112c6091 completed April 28, 2026, 12:27 p.m.
NER Named-entity recognition batch_69f669ab36008190bc2e3c5dbdd2050d completed May 2, 2026, 9:16 p.m.
PD Predicate disambiguation batch_69f660f4f7a88190b93c60d76b86c912 completed May 2, 2026, 8:39 p.m.
Created at: April 28, 2026, 2:27 p.m.