Triple

T772121
Position Surface form Disambiguated ID Type / Status
Subject Saturn L-Series E16303 entity
Predicate trimLevel P11486 FINISHED
Object LW2
LW2 is a specific trim level of the Saturn L-Series midsize station wagon, offering a particular set of features and equipment within that model line.
 E91711 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: LW2 | Statement: [Saturn L-Series, trimLevel, LW2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LW2
Context triple: [Saturn L-Series, trimLevel, LW2]
  • A. LW1
    The LW1 is a base-level Saturn L-Series station wagon model known for its practical design and value-oriented features.
  • B. LWP
    LWP is the abbreviation for the Polish People’s Army, the communist-era armed forces of Poland that existed from the end of World War II until 1989.
  • C. L86 LSW
    The L86 LSW is the light support weapon variant of the British SA80 family, designed to provide sustained, accurate automatic fire at the squad level.
  • D. LGW
    LGW is the three-letter IATA airport code for London Gatwick Airport, a major international airport serving the London metropolitan area in the United Kingdom.
  • E. L2M
    L2M is a DARPA research initiative focused on developing AI systems capable of continuous, lifelong learning and adaptation.
  • 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: LW2
Triple: [Saturn L-Series, trimLevel, LW2]
Generated description
LW2 is a specific trim level of the Saturn L-Series midsize station wagon, offering a particular set of features and equipment within that model line.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LW2
Target entity description: LW2 is a specific trim level of the Saturn L-Series midsize station wagon, offering a particular set of features and equipment within that model line.
  • A. LW1
    The LW1 is a base-level Saturn L-Series station wagon model known for its practical design and value-oriented features.
  • B. LWP
    LWP is the abbreviation for the Polish People’s Army, the communist-era armed forces of Poland that existed from the end of World War II until 1989.
  • C. L86 LSW
    The L86 LSW is the light support weapon variant of the British SA80 family, designed to provide sustained, accurate automatic fire at the squad level.
  • D. LGW
    LGW is the three-letter IATA airport code for London Gatwick Airport, a major international airport serving the London metropolitan area in the United Kingdom.
  • E. L2M
    L2M is a DARPA research initiative focused on developing AI systems capable of continuous, lifelong learning and adaptation.
  • 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_69a49369a0848190af883934cee3db4c completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a706abf88190a1cbc2dfbbf9968a completed March 1, 2026, 8:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69a66d994aa081908b748544f5d7f6ed completed March 3, 2026, 5:11 a.m.
NEDg Description generation batch_69a66defe41881909cdb3fe3768052ba completed March 3, 2026, 5:13 a.m.
NED2 Entity disambiguation (via description) batch_69a66e61b1348190be290f04b18e67cb completed March 3, 2026, 5:15 a.m.
Created at: March 1, 2026, 7:37 p.m.