Triple

T20866290
Position Surface form Disambiguated ID Type / Status
Subject Future Shock E513770 entity
Predicate hasPart P35 FINISHED
Object Autodrive
Autodrive is a concept of automated, computer-controlled vehicle operation often associated with futuristic visions of transportation and technology.
 E1453568 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: Autodrive | Statement: [Future Shock, hasPart, Autodrive]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Autodrive
Context triple: [Future Shock, hasPart, Autodrive]
  • A. Autonoë
    Autonoë is a figure in Greek mythology, a daughter of Cadmus and Harmonia and sister of Semele, known primarily as the mother of the hunter Actaeon.
  • B. Autopilot
    Autopilot is Tesla’s advanced driver-assistance system designed to automate steering, acceleration, and braking under driver supervision.
  • C. Loop Drive
    Loop Drive is the main circular roadway in New York City's Central Park used by pedestrians, cyclists, and vehicles for recreation and transit.
  • D. Autokomanda
    Autokomanda is a major traffic junction and neighborhood in Belgrade, Serbia, known for its busy interchange connecting several key city districts.
  • E. Apollo autonomous driving platform
    Apollo autonomous driving platform is Baidu’s open, scalable software and hardware ecosystem for developing, testing, and deploying self-driving vehicle technologies.
  • 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: Autodrive
Triple: [Future Shock, hasPart, Autodrive]
Generated description
Autodrive is a concept of automated, computer-controlled vehicle operation often associated with futuristic visions of transportation and technology.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Autodrive
Target entity description: Autodrive is a concept of automated, computer-controlled vehicle operation often associated with futuristic visions of transportation and technology.
  • A. Autonoë
    Autonoë is a figure in Greek mythology, a daughter of Cadmus and Harmonia and sister of Semele, known primarily as the mother of the hunter Actaeon.
  • B. Autopilot
    Autopilot is Tesla’s advanced driver-assistance system designed to automate steering, acceleration, and braking under driver supervision.
  • C. Loop Drive
    Loop Drive is the main circular roadway in New York City's Central Park used by pedestrians, cyclists, and vehicles for recreation and transit.
  • D. Autokomanda
    Autokomanda is a major traffic junction and neighborhood in Belgrade, Serbia, known for its busy interchange connecting several key city districts.
  • E. Apollo autonomous driving platform
    Apollo autonomous driving platform is Baidu’s open, scalable software and hardware ecosystem for developing, testing, and deploying self-driving vehicle technologies.
  • 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_69e0b4f675cc8190b4e745225b62eb66 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c460807c8190a337d8cc6c7b1438 completed April 21, 2026, 12:27 a.m.
NED1 Entity disambiguation (via context triple) batch_6a090b12e6ac8190a4b5e99a140d806b completed May 17, 2026, 12:25 a.m.
NEDg Description generation batch_6a090c00cab88190b2cc2d5410455e9a completed May 17, 2026, 12:29 a.m.
NED2 Entity disambiguation (via description) batch_6a090cf5157c8190b311114c8f41dfa2 completed May 17, 2026, 12:33 a.m.
Created at: April 16, 2026, 12:45 p.m.