Triple

T165519
Position Surface form Disambiguated ID Type / Status
Subject Tesla, Inc. E3005 entity
Predicate offersService P178 FINISHED
Object Autopilot
Autopilot is Tesla’s advanced driver-assistance system designed to automate steering, acceleration, and braking under driver supervision.
 E20646 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: Autopilot | Statement: [Tesla, Inc., offersService, Autopilot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Autopilot
Context triple: [Tesla, Inc., offersService, Autopilot]
  • A. Autoport
    Autoport is a specialized automotive terminal within the Port of Boston used for handling, storing, and processing imported and exported vehicles.
  • B. Blink
    Blink is an open-source web browser engine developed primarily by Google and used in several major browsers to render web pages.
  • C. The Corsair
    The Corsair is a popular narrative poem by Lord Byron, first published in 1814, that tells the romantic and adventurous tale of a pirate hero and became a major literary sensation of its time.
  • D. Byfleet
    Byfleet is a village and former civil parish in southeast England, situated within the county of Surrey.
  • E. Atlas
    Atlas is a Titan from Greek mythology best known for bearing the weight of the heavens on his shoulders as punishment from the gods.
  • 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: Autopilot
Triple: [Tesla, Inc., offersService, Autopilot]
Generated description
Autopilot is Tesla’s advanced driver-assistance system designed to automate steering, acceleration, and braking under driver supervision.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Autopilot
Target entity description: Autopilot is Tesla’s advanced driver-assistance system designed to automate steering, acceleration, and braking under driver supervision.
  • A. Autoport
    Autoport is a specialized automotive terminal within the Port of Boston used for handling, storing, and processing imported and exported vehicles.
  • B. Blink
    Blink is an open-source web browser engine developed primarily by Google and used in several major browsers to render web pages.
  • C. The Corsair
    The Corsair is a popular narrative poem by Lord Byron, first published in 1814, that tells the romantic and adventurous tale of a pirate hero and became a major literary sensation of its time.
  • D. Byfleet
    Byfleet is a village and former civil parish in southeast England, situated within the county of Surrey.
  • E. Atlas
    Atlas is a Titan from Greek mythology best known for bearing the weight of the heavens on his shoulders as punishment from the gods.
  • 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_69a2524ce1e48190ab066bf72859f474 completed Feb. 28, 2026, 2:26 a.m.
NER Named-entity recognition batch_69a25883ac8481909616b2179561bd98 completed Feb. 28, 2026, 2:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2db55b2808190bb120e6f266bd26b completed Feb. 28, 2026, 12:11 p.m.
NEDg Description generation batch_69a2dbc9285081908ce873c8ec56c36f completed Feb. 28, 2026, 12:12 p.m.
NED2 Entity disambiguation (via description) batch_69a2e05353808190a0392ea04cecdb43 completed Feb. 28, 2026, 12:32 p.m.
Created at: Feb. 28, 2026, 2:34 a.m.