Triple

T26728651
Position Surface form Disambiguated ID Type / Status
Subject Adam Davenport E673903 entity
Predicate hasBionicChip P103353 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: [Adam Davenport, hasBionicChip, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasBionicChip
Context triple: [Adam Davenport, hasBionicChip, yes]
  • A. hasOnChip
    Indicates that one component or system includes another component integrated directly onto the same chip or integrated circuit.
  • B. supportsOnChipNetworking
    Indicates that one entity provides or enables integrated networking capabilities directly on a chip for another entity.
  • C. hasHybridSystem
    Indicates that an entity is equipped with or incorporates a hybrid system, typically combining two or more different technologies or power sources.
  • D. hasHardware chosen
    Indicates that one entity possesses, includes, or is equipped with specific hardware components or devices.
  • E. supportsNEON
    Indicates that one entity provides or enables NEON (ARM Advanced SIMD) instruction set support for 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_69eecda481d08190aea69f2f7c745f56 completed April 27, 2026, 2:44 a.m.
NER Named-entity recognition batch_69f65f7731e4819099d5bd3d915ee266 completed May 2, 2026, 8:32 p.m.
PD Predicate disambiguation batch_69f65c1f94ac8190bc6fbc7916fc0d82 completed May 2, 2026, 8:18 p.m.
Created at: April 27, 2026, 3:43 a.m.