Triple

T772116
Position Surface form Disambiguated ID Type / Status
Subject Saturn L-Series E16303 entity
Predicate trimLevel P11486 FINISHED
Object LS2
LS2 is a mid-level trim variant of the Saturn L-Series midsize sedan, offering additional comfort and convenience features over the base model.
 E91032 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: LS2 | Statement: [Saturn L-Series, trimLevel, LS2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LS2
Context triple: [Saturn L-Series, trimLevel, LS2]
  • A. LS
    LS is the IATA airline designator used by the British low-cost carrier Jet2.com.
  • B. LNS
    LNS is the commonly used abbreviation for the Laboratory for Nuclear Science, a research institution focused on advancing the understanding of nuclear and particle physics.
  • C. LSL
    LSL is the currency code for the Lesotho loti, the official monetary unit of Lesotho.
  • D. LAS
    LAS is an abbreviation commonly used for the College of Liberal Arts and Sciences at many universities, encompassing a broad range of humanities, social sciences, and natural sciences disciplines.
  • E. LAS
    LAS is the commonly used abbreviation for the Arab League, a regional organization of Arab countries in and around North Africa, the Horn of Africa, and the Middle East.
  • 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: LS2
Triple: [Saturn L-Series, trimLevel, LS2]
Generated description
LS2 is a mid-level trim variant of the Saturn L-Series midsize sedan, offering additional comfort and convenience features over the base model.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LS2
Target entity description: LS2 is a mid-level trim variant of the Saturn L-Series midsize sedan, offering additional comfort and convenience features over the base model.
  • A. LS
    LS is the IATA airline designator used by the British low-cost carrier Jet2.com.
  • B. LNS
    LNS is the commonly used abbreviation for the Laboratory for Nuclear Science, a research institution focused on advancing the understanding of nuclear and particle physics.
  • C. LSL
    LSL is the currency code for the Lesotho loti, the official monetary unit of Lesotho.
  • D. LAS
    LAS is an abbreviation commonly used for the College of Liberal Arts and Sciences at many universities, encompassing a broad range of humanities, social sciences, and natural sciences disciplines.
  • E. LAS
    LAS is the commonly used abbreviation for the Arab League, a regional organization of Arab countries in and around North Africa, the Horn of Africa, and the Middle East.
  • 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_69a6667aabe08190b56f129864082c84 completed March 3, 2026, 4:41 a.m.
NEDg Description generation batch_69a66783f6cc819089570965e48b5749 completed March 3, 2026, 4:45 a.m.
NED2 Entity disambiguation (via description) batch_69a667e58f988190be20a9aa3c8359fd completed March 3, 2026, 4:47 a.m.
Created at: March 1, 2026, 7:37 p.m.