Triple

T24791776
Position Surface form Disambiguated ID Type / Status
Subject Daytona Prototype international E620268 entity
Predicate successorClass P10131 FINISHED
Object GTP (IMSA class)
GTP (IMSA class) is a top-level sports car racing category in the IMSA WeatherTech SportsCar Championship featuring cutting-edge hybrid prototype race cars from major manufacturers.
E1313785 NE FINISHED

How this triple was built (2 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: GTP (IMSA class) | Statement: [Daytona Prototype international, successorClass, GTP (IMSA class)]
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: GTP (IMSA class)
Triple: [Daytona Prototype international, successorClass, GTP (IMSA class)]
Generated description
GTP (IMSA class) is a top-level sports car racing category in the IMSA WeatherTech SportsCar Championship featuring cutting-edge hybrid prototype race cars from major manufacturers.

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_69e2fabe77c8819085f7ce6486248139 completed April 18, 2026, 3:30 a.m.
NER Named-entity recognition batch_69f4110424188190889a13976b16b18a completed May 1, 2026, 2:33 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.
Created at: April 18, 2026, 4:47 a.m.