Triple

T497199
Position Surface form Disambiguated ID Type / Status
Subject iPhone E10318 entity
Predicate hasSeries P1761 FINISHED
Object iPhone 15 E10318 NE 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: iPhone 15 | Statement: [iPhone, hasSeries, iPhone 15]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: iPhone 15
Context triple: [iPhone, hasSeries, iPhone 15]
  • A. iPhone chosen
    The iPhone is Apple's flagship smartphone line that revolutionized mobile technology by combining a touchscreen interface, internet connectivity, and a robust app ecosystem into a single device.
  • B. Apple A17 Pro
    Apple A17 Pro is a high-performance 3 nm mobile system-on-a-chip designed by Apple for advanced iPhone models, featuring improved CPU, GPU, and AI processing capabilities.
  • C. Liquid Retina XDR
    Liquid Retina XDR is Apple’s high‑end mini‑LED display technology that delivers very high brightness, contrast, and color accuracy for professional-grade visual work.
  • D. Apple A18
    The Apple A18 is a next-generation Apple-designed ARM-based system-on-a-chip expected to power upcoming iPhone models with improved performance and efficiency.
  • E. Vision Pro
    Vision Pro is Apple’s high-end mixed reality headset that blends augmented and virtual reality experiences using advanced displays, sensors, and custom Apple silicon.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69a2e847df8481909239ec08ccf1e376 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f116f1b4819082f88d6c747368ae completed Feb. 28, 2026, 1:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4b5d3b5f0819093c5d55bdf5a7c4d completed March 1, 2026, 9:55 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.