Triple

T317678
Position Surface form Disambiguated ID Type / Status
Subject GMC Sierra E7742 entity
Predicate hasTrimLevel P2393 FINISHED
Object SLE
SLE is a mid-level trim package for GMC vehicles that typically adds upgraded comfort, convenience, and appearance features over the base model.
 E40910 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: SLE | Statement: [GMC Sierra, hasTrimLevel, SLE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SLE
Context triple: [GMC Sierra, hasTrimLevel, SLE]
  • A. CLSCL
    CLSCL is the UN/LOCODE identifier for the port and transport location of Santiago, Chile.
  • B. Leqembi
    Leqembi is an Alzheimer’s disease drug (lecanemab) that targets amyloid-beta plaques to slow cognitive decline in early-stage patients.
  • C. SLD
    SLD was a particle physics experiment at the SLAC Linear Collider that made precision measurements of electroweak interactions, including properties of the Z boson.
  • D. ALS
    ALS (amyotrophic lateral sclerosis) is a progressive neurodegenerative disease that affects nerve cells in the brain and spinal cord, leading to muscle weakness, paralysis, and ultimately respiratory failure.
  • E. MCI-Shirley
    MCI-Shirley is a medium- and minimum-security state prison for men located in Shirley, Massachusetts.
  • 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: SLE
Triple: [GMC Sierra, hasTrimLevel, SLE]
Generated description
SLE is a mid-level trim package for GMC vehicles that typically adds upgraded comfort, convenience, and appearance features over the base model.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SLE
Target entity description: SLE is a mid-level trim package for GMC vehicles that typically adds upgraded comfort, convenience, and appearance features over the base model.
  • A. CLSCL
    CLSCL is the UN/LOCODE identifier for the port and transport location of Santiago, Chile.
  • B. Leqembi
    Leqembi is an Alzheimer’s disease drug (lecanemab) that targets amyloid-beta plaques to slow cognitive decline in early-stage patients.
  • C. SLD
    SLD was a particle physics experiment at the SLAC Linear Collider that made precision measurements of electroweak interactions, including properties of the Z boson.
  • D. ALS
    ALS (amyotrophic lateral sclerosis) is a progressive neurodegenerative disease that affects nerve cells in the brain and spinal cord, leading to muscle weakness, paralysis, and ultimately respiratory failure.
  • E. MCI-Shirley
    MCI-Shirley is a medium- and minimum-security state prison for men located in Shirley, Massachusetts.
  • 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_69a2e7e7af7881908890039d6be4e9b8 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ee016c408190beab4009653524db completed Feb. 28, 2026, 1:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3c8b8d7d88190b43f7b6b0289445f completed March 1, 2026, 5:03 a.m.
NEDg Description generation batch_69a3c964b7a48190afa7cada4a499739 completed March 1, 2026, 5:06 a.m.
NED2 Entity disambiguation (via description) batch_69a3c9bc3eec81909e6d1b7af6cf7d58 completed March 1, 2026, 5:08 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.