Triple

T21545049
Position Surface form Disambiguated ID Type / Status
Subject VT Halter Marine E531600 entity
Predicate parentCompany P254 FINISHED
Object Vision Technologies Systems NE NERFINISHED

How this triple was built (3 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: Vision Technologies Systems | Statement: [VT Halter Marine, parentCompany, Vision Technologies Systems]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vision Technologies Systems
Context triple: [VT Halter Marine, parentCompany, Vision Technologies Systems]
  • A. OrCam Technologies
    OrCam Technologies is an Israeli assistive technology company that develops AI-driven wearable devices to help visually impaired and other disabled users perceive and interact with their surroundings.
  • B. Mobileye
    Mobileye is an Israeli technology company specializing in advanced driver-assistance systems and autonomous driving solutions, known for its computer vision and mapping technologies used by major automakers worldwide.
  • C. SIGA Technologies
    SIGA Technologies is a pharmaceutical company specializing in the development of antiviral treatments, particularly for smallpox and other orthopoxvirus infections.
  • D. Innosight
    Innosight is a strategy and innovation consulting firm co-founded by disruptive innovation theorist Clayton Christensen, known for helping organizations navigate transformational growth and change.
  • E. InSight
    InSight is a NASA Mars lander mission designed to study the planet’s deep interior and seismic activity to better understand the formation and evolution of rocky planets.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Vision Technologies Systems
Target entity description: Vision Technologies Systems is a Singapore-based defense and engineering company that provides integrated solutions in aerospace, electronics, land systems, and marine sectors worldwide.
  • A. OrCam Technologies
    OrCam Technologies is an Israeli assistive technology company that develops AI-driven wearable devices to help visually impaired and other disabled users perceive and interact with their surroundings.
  • B. Mobileye
    Mobileye is an Israeli technology company specializing in advanced driver-assistance systems and autonomous driving solutions, known for its computer vision and mapping technologies used by major automakers worldwide.
  • C. SIGA Technologies
    SIGA Technologies is a pharmaceutical company specializing in the development of antiviral treatments, particularly for smallpox and other orthopoxvirus infections.
  • D. Innosight
    Innosight is a strategy and innovation consulting firm co-founded by disruptive innovation theorist Clayton Christensen, known for helping organizations navigate transformational growth and change.
  • E. InSight
    InSight is a NASA Mars lander mission designed to study the planet’s deep interior and seismic activity to better understand the formation and evolution of rocky planets.
  • F. None of above. chosen

Provenance (2 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_69e0c45f17148190949c330ab9c27706 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eeb58e38808190888f3501cf4fff7c completed April 27, 2026, 1:02 a.m.
Created at: April 16, 2026, 6:28 p.m.