Triple

T11658542
Position Surface form Disambiguated ID Type / Status
Subject Oculus Rift E277068 entity
Predicate codename P2980 FINISHED
Object CV1
CV1 is the first consumer version of the Oculus Rift virtual reality headset, marking Oculus’s initial mass-market VR hardware release.
 E937721 NE FINISHED

How this triple was built (4 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: CV1 | Statement: [Oculus Rift, codename, CV1]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CV1
Context triple: [Oculus Rift, codename, CV1]
  • A. CvA
    CvA is the abbreviation for the Conservatorium van Amsterdam, a major music conservatory in the Netherlands known for its comprehensive music education and performance programs.
  • B. CVK
    CVK is a major campus of Charité – Universitätsmedizin Berlin, housing extensive clinical and research facilities in the Wedding district of Berlin.
  • C. CV-3
    CV-3 was the hull classification symbol for USS Saratoga, a pioneering U.S. Navy aircraft carrier that served prominently from the interwar period through World War II.
  • D. ČvT
    ČvT is the Czech abbreviation for "Člověk v tísni," a prominent humanitarian and human rights organization based in the Czech Republic.
  • E. VVCI
    VVCI is the ICAO airport code for Cat Bi International Airport in Hai Phong, Vietnam.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: CV1
Triple: [Oculus Rift, codename, CV1]
Generated description
CV1 is the first consumer version of the Oculus Rift virtual reality headset, marking Oculus’s initial mass-market VR hardware release.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CV1
Target entity description: CV1 is the first consumer version of the Oculus Rift virtual reality headset, marking Oculus’s initial mass-market VR hardware release.
  • A. CvA
    CvA is the abbreviation for the Conservatorium van Amsterdam, a major music conservatory in the Netherlands known for its comprehensive music education and performance programs.
  • B. CVK
    CVK is a major campus of Charité – Universitätsmedizin Berlin, housing extensive clinical and research facilities in the Wedding district of Berlin.
  • C. CV-3
    CV-3 was the hull classification symbol for USS Saratoga, a pioneering U.S. Navy aircraft carrier that served prominently from the interwar period through World War II.
  • D. ČvT
    ČvT is the Czech abbreviation for "Člověk v tísni," a prominent humanitarian and human rights organization based in the Czech Republic.
  • E. VVCI
    VVCI is the ICAO airport code for Cat Bi International Airport in Hai Phong, Vietnam.
  • F. None of above. chosen

Provenance (5 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_69d6aafbb3c081908a9cdb4ecb8d981d completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a3d19c788190826d849a6ffedc72 completed April 10, 2026, 7:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69ee882148a08190a1a8c16d8cb7e48a completed April 26, 2026, 9:48 p.m.
NEDg Description generation batch_69eeb315ebc48190a0f6ff0dc8afd462 completed April 27, 2026, 12:51 a.m.
NED2 Entity disambiguation (via description) batch_69eecd954b348190bf2f3ad66acbf1b7 completed April 27, 2026, 2:44 a.m.
Created at: April 8, 2026, 9:39 p.m.