Triple

T4047574
Position Surface form Disambiguated ID Type / Status
Subject System 3 E84103 entity
Predicate company P4120 FINISHED
Object Apple E3002 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: Apple | Statement: [System 3, company, Apple]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Apple
Context triple: [System 3, company, Apple]
  • A. Apple
    Apple is a widely cultivated fruit known for its crisp texture, sweet-tart flavor, and central role in cuisines and agricultural traditions around the world.
  • B. Apple Inc. chosen
    Apple Inc. is a multinational technology company best known for designing and selling consumer electronics like the iPhone, Mac, and iPad, along with software and digital services.
  • C. Apple One
    Apple One is Apple’s subscription bundle that combines multiple services like iCloud storage, music, video, fitness, and news into a single monthly plan.
  • D. Apple Market
    Apple Market is a historic covered market in London’s Covent Garden, known for its stalls selling crafts, antiques, and artisan goods to locals and tourists.
  • E. Apple hardware
    Apple hardware refers to the physical computing devices and electronic products designed and manufactured by Apple Inc., including computers, smartphones, tablets, wearables, and accessories.
  • 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_69aed930bd5c819083e7dcc14fc44f69 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefb62593c8190ab8462c4d9cd9d08 completed March 9, 2026, 4:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69b56b4d2cb081908dbca3bee5610cda completed March 14, 2026, 2:06 p.m.
Created at: March 9, 2026, 3:37 p.m.