Triple

T36115007
Position Surface form Disambiguated ID Type / Status
Subject Toyota MR2 E1044594 entity
Predicate firstGenerationChassisCode P204736 FINISHED
Object W10
W10 is the internal chassis code used by Toyota to designate the first-generation MR2 sports car.
 E2169855 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: W10 | Statement: [Toyota MR2, firstGenerationChassisCode, W10]
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: W10
Triple: [Toyota MR2, firstGenerationChassisCode, W10]
Generated description
W10 is the internal chassis code used by Toyota to designate the first-generation MR2 sports car.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: firstGenerationChassisCode
Context triple: [Toyota MR2, firstGenerationChassisCode, W10]
  • A. firstChassisNumber
    Indicates that the associated value is the earliest or initial chassis identification number assigned to a vehicle or mechanical unit.
  • B. firstGenerationBodyStyle
    Indicates that the subject has the body style corresponding to the first generation of that model or product line.
  • C. firstGenerationBasedOn
    Indicates that one entity is the initial or earliest version derived or developed from another entity as its basis.
  • D. firstGeneration
    Indicates that an entity belongs to the first generation within a defined lineage, sequence, or series relative to other related entities.
  • E. firstGenerationTransmission
    Indicates a transmission or transfer that occurs directly in the first generation, without any intermediate generational steps.
  • 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_69f76e344a4c8190af3858c6d78ba88f completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_6a037c92f03c8190ae2751270b195423 completed May 12, 2026, 7:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a38de08c0e88190a4654634051549bd completed June 22, 2026, 7:02 a.m.
NEDg Description generation batch_6a38f3bca0208190a2853e35f027dae8 completed June 22, 2026, 8:35 a.m.
NED2 Entity disambiguation (via description) batch_6a38f90edfb881908f84396fe2c74311 completed June 22, 2026, 8:57 a.m.
PD Predicate disambiguation batch_6a037a0895b48190acdd88dc10db7be7 completed May 12, 2026, 7:05 p.m.
PDg Predicate description generation batch_6a037c82f8c88190bd77a086023ac0e1 completed May 12, 2026, 7:16 p.m.
Created at: May 3, 2026, 4:08 p.m.