Triple

T28826852
Position Surface form Disambiguated ID Type / Status
Subject SEAT Toledo E727930 entity
Predicate thirdGenerationRelatedModel P41140 FINISHED
Object SEAT Altea
The SEAT Altea is a compact multi-purpose vehicle (MPV) produced by Spanish automaker SEAT, known for its sporty styling and practical family-oriented design.
 E1840045 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: SEAT Altea | Statement: [SEAT Toledo, thirdGenerationRelatedModel, SEAT Altea]
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: SEAT Altea
Triple: [SEAT Toledo, thirdGenerationRelatedModel, SEAT Altea]
Generated description
The SEAT Altea is a compact multi-purpose vehicle (MPV) produced by Spanish automaker SEAT, known for its sporty styling and practical family-oriented design.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: thirdGenerationRelatedModel
Context triple: [SEAT Toledo, thirdGenerationRelatedModel, SEAT Altea]
  • A. secondGenerationRelatedTo
    Indicates a relationship where one entity is in the second generation relative to another, such as a grandchild, grandparent, or equivalent two-generation familial link.
  • B. thirdGeneration chosen
    Indicates that one entity is the grandchild (third generation) relative to another entity in a lineage or succession.
  • C. fourthGenerationRelatedModel
    Indicates that one model is related to another as a fourth-generation successor or variant in a lineage or series.
  • D. associatedModelGeneration
    Indicates that one entity is responsible for creating, producing, or generating another related model or representation.
  • E. thirdGenerationProduction
    Indicates that the subject is involved in producing or manufacturing items belonging to the third generation of a product, technology, or design series.
  • 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_69f0319dc6088190bbfaa206d40ed74a completed April 28, 2026, 4:03 a.m.
NER Named-entity recognition batch_69f71422adac8190a5ceb32dcf820833 completed May 3, 2026, 9:23 a.m.
NED1 Entity disambiguation (via context triple) batch_6a24d3f27738819096a75006a1aceb70 completed June 7, 2026, 2:14 a.m.
NEDg Description generation batch_6a24d9370ef48190845aa485c0356b6f completed June 7, 2026, 2:36 a.m.
NED2 Entity disambiguation (via description) batch_6a24dd72d7288190a98101927bc7eae4 completed June 7, 2026, 2:54 a.m.
PD Predicate disambiguation batch_69f712764d2c819081b64b27e5de4a13 completed May 3, 2026, 9:16 a.m.
Created at: April 28, 2026, 6:36 a.m.