Triple

T18530825
Position Surface form Disambiguated ID Type / Status
Subject RateLimiter E452825 entity
Predicate provides P490 FINISHED
Object RateLimiterInterface NE NERFINISHED

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: RateLimiterInterface | Statement: [RateLimiter, provides, RateLimiterInterface]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: RateLimiterInterface
Context triple: [RateLimiter, provides, RateLimiterInterface]
  • A. RateLimiter chosen
    RateLimiter is a Symfony component that provides tools to control and throttle the rate of incoming requests or operations to prevent abuse and ensure application stability.
  • B. QPS
    QPS is the primary law enforcement agency responsible for policing and public safety across the Australian state of Queensland.
  • C. Time Limit
    "Time Limit" is a 1957 American courtroom drama film about a Korean War court-martial, noted for its psychological depth and for being one of Richard Basehart’s most acclaimed screen performances.
  • D. PSR-17
    PSR-17 is a PHP standard that defines interfaces for HTTP message factories, enabling consistent creation of requests, responses, and related HTTP objects across frameworks and libraries.
  • E. CountQueuingStrategy
    CountQueuingStrategy is a built-in queuing strategy in the JavaScript Streams API that manages backpressure by counting the number of chunks in a stream’s internal queue.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d387b5548190aa030dad2cb4947e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e533fd0e348190ab3d4548f74b9b79 completed April 19, 2026, 7:58 p.m.
Created at: April 10, 2026, 11:37 a.m.