Triple

T16356822
Position Surface form Disambiguated ID Type / Status
Subject Clouds Over Sidra E397201 entity
Predicate usesTechnology P1485 FINISHED
Object Samsung Gear VR E277067 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: Samsung Gear VR | Statement: [Clouds Over Sidra, usesTechnology, Samsung Gear VR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Samsung Gear VR
Context triple: [Clouds Over Sidra, usesTechnology, Samsung Gear VR]
  • A. Gear VR chosen
    Gear VR is a mobile virtual reality headset developed by Samsung in collaboration with Oculus, designed to work with select Samsung smartphones.
  • B. Oculus Go
    Oculus Go is a standalone virtual reality headset designed for untethered, mobile VR experiences without the need for a PC or smartphone.
  • C. Oculus Quest
    Oculus Quest is a standalone virtual reality headset known for its inside-out tracking, wireless operation, and consumer-friendly VR gaming experience.
  • D. Oculus VR
    Oculus VR is a virtual reality technology company best known for developing the Oculus Rift headset and helping popularize modern consumer VR experiences.
  • E. Oculus
    Oculus is a 2013 psychological horror film written and directed by Mike Flanagan that centers on a haunted mirror and the traumatic effects it has on a family.
  • 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_69d87f2778dc8190aa95c7572db127e6 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2facf67e0819089a23ce6f5642fbe completed April 18, 2026, 3:30 a.m.
NED1 Entity disambiguation (via context triple) batch_6a002dbaacd88190b2c90c5be2832307 completed May 10, 2026, 7:03 a.m.
Created at: April 10, 2026, 5:07 a.m.