Triple

T17517490
Position Surface form Disambiguated ID Type / Status
Subject ESP8266 E426602 entity
Predicate hasIntegratedRFFrontEnd P87639 FINISHED
Object yes 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: yes | Statement: [ESP8266, hasIntegratedRFFrontEnd, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasIntegratedRFFrontEnd
Context triple: [ESP8266, hasIntegratedRFFrontEnd, yes]
  • A. hasFrontFeature
    Indicates that an entity possesses a specific characteristic, component, or attribute located on its front side.
  • B. hasIntegratedUnit chosen
    Indicates that one entity includes another entity as a built-in or internally combined component or unit.
  • C. hasIntegratedImageSignalProcessor
    Indicates that an entity includes a built-in image signal processor as part of its hardware or system design.
  • D. radarEquipped
    Indicates that an entity is equipped with or has access to radar detection equipment or radar-based sensing capability.
  • E. hasFrontLineFeature
    Indicates that an entity possesses a specific characteristic or element located on its front side or leading edge.
  • 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_69d889dd9164819087b1dc3c9240c870 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e452615a8481909974e9855ea7a8e4 completed April 19, 2026, 3:56 a.m.
PD Predicate disambiguation batch_69e3b4f5fbcc8190a6ea9639bf5650da completed April 18, 2026, 4:44 p.m.
Created at: April 10, 2026, 5:49 a.m.