Triple

T37533602
Position Surface form Disambiguated ID Type / Status
Subject Harley-Davidson big twin E933130 entity
Predicate emblematicModelFamilyFor P72227 FINISHED
Object Harley-Davidson cruiser lineup
The Harley-Davidson cruiser lineup is the brand’s iconic range of heavyweight, low-slung motorcycles designed for relaxed, torque-rich riding and classic American style.
 E2230632 NE FINISHED

How this triple was built (3 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: Harley-Davidson cruiser lineup | Statement: [Harley-Davidson big twin, emblematicModelFamilyFor, Harley-Davidson cruiser lineup]
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: Harley-Davidson cruiser lineup
Triple: [Harley-Davidson big twin, emblematicModelFamilyFor, Harley-Davidson cruiser lineup]
Generated description
The Harley-Davidson cruiser lineup is the brand’s iconic range of heavyweight, low-slung motorcycles designed for relaxed, torque-rich riding and classic American style.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: emblematicModelFamilyFor
Context triple: [Harley-Davidson big twin, emblematicModelFamilyFor, Harley-Davidson cruiser lineup]
  • A. emblematicModel
    Indicates that one entity serves as a representative or symbolic example of another entity, capturing its defining characteristics or ideals.
  • B. emblemFamily
    Indicates that one emblem belongs to, represents, or is associated with a particular family or familial lineage.
  • C. notableModelFamily
    Indicates that one entity is a prominent or widely recognized model family associated with, produced by, or otherwise notably linked to another entity.
  • D. emblematicFor chosen
    Indicates that something serves as a representative symbol or characteristic example of something else.
  • E. emblemFeatures
    Indicates that an emblem includes or displays specific visual elements or characteristics.
  • F. None of above.

Provenance (6 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_69f76ec999288190ae26ec7b6aea7046 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fba5eec0448190a5e6f0c43fdcd0e3 completed May 6, 2026, 8:34 p.m.
NED1 Entity disambiguation (via context triple) batch_6a40954abdbc8190ba1e0c4543b29404 completed June 28, 2026, 3:30 a.m.
NEDg Description generation batch_6a4096691bf88190b88d47fe76576953 completed June 28, 2026, 3:35 a.m.
NED2 Entity disambiguation (via description) batch_6a4096e66a708190ac9cec52f9372283 completed June 28, 2026, 3:37 a.m.
PD Predicate disambiguation batch_69fba34edd548190bfa980e6e16e0a88 completed May 6, 2026, 8:23 p.m.
Created at: May 3, 2026, 4:17 p.m.