Triple

T24791616
Position Surface form Disambiguated ID Type / Status
Subject GTP E620265 entity
Predicate allowsChassisSupplier P159385 FINISHED
Object Multimatic
Multimatic is a Canadian engineering and manufacturing company best known for designing and supplying high-performance automotive components and complete vehicle chassis for road and race cars.
 E1652750 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: Multimatic | Statement: [GTP, allowsChassisSupplier, Multimatic]
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: Multimatic
Triple: [GTP, allowsChassisSupplier, Multimatic]
Generated description
Multimatic is a Canadian engineering and manufacturing company best known for designing and supplying high-performance automotive components and complete vehicle chassis for road and race cars.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: allowsChassisSupplier
Context triple: [GTP, allowsChassisSupplier, Multimatic]
  • A. chassisSupplier
    Indicates that one entity serves as the supplier or provider of the chassis for another entity.
  • B. supportsChassisType
    Indicates that one entity is compatible with and can be used to support or accommodate a specified chassis type.
  • C. usedChassisFor
    Indicates that one entity employed or incorporated another entity’s chassis as the structural base or framework for its construction or operation.
  • D. hasChassisType
    Indicates that an entity is associated with or equipped with a specific type of chassis.
  • E. chassisFeature
    Indicates that a particular feature, component, or characteristic is part of or associated with a chassis.
  • F. None of above. chosen

Provenance (7 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_69e2fabe77c8819085f7ce6486248139 completed April 18, 2026, 3:30 a.m.
NER Named-entity recognition batch_69f584f07b648190aee894c1d5320bc3 completed May 2, 2026, 5 a.m.
NED1 Entity disambiguation (via context triple) batch_6a101c2a84f48190a0a5aa0d0da7e568 completed May 22, 2026, 9:04 a.m.
NEDg Description generation batch_6a10279326b48190927cdfc7ac0e1790 completed May 22, 2026, 9:53 a.m.
NED2 Entity disambiguation (via description) batch_6a10282c01b481908a7340bef6e2a727 completed May 22, 2026, 9:55 a.m.
PD Predicate disambiguation batch_69f4a0edd10c81908a052ab864d57c54 completed May 1, 2026, 12:47 p.m.
PDg Predicate description generation batch_69f55e497fa081909bc59a7b92c5df59 completed May 2, 2026, 2:15 a.m.
Created at: April 18, 2026, 4:47 a.m.