Triple

T33835965
Position Surface form Disambiguated ID Type / Status
Subject Oxford 250 E867234 entity
Predicate alsoKnownAs P39 FINISHED
Object Oxford Plains 250
The Oxford Plains 250 is a prominent stock car racing event held at Oxford Plains Speedway in Maine, known for attracting top regional and national short-track drivers.
 E2070361 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: Oxford Plains 250 | Statement: [Oxford 250, alsoKnownAs, Oxford Plains 250]
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: Oxford Plains 250
Triple: [Oxford 250, alsoKnownAs, Oxford Plains 250]
Generated description
The Oxford Plains 250 is a prominent stock car racing event held at Oxford Plains Speedway in Maine, known for attracting top regional and national short-track drivers.

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_69f34992ad40819087760ed939bd2a7a completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f7002f38308190af948b97a35a5b09 completed May 3, 2026, 7:58 a.m.
NED1 Entity disambiguation (via context triple) batch_6a366eab59248190bacb19fb2d390aec completed June 20, 2026, 10:42 a.m.
NEDg Description generation batch_6a366fbbedfc8190ad0d687723c177e1 completed June 20, 2026, 10:47 a.m.
NED2 Entity disambiguation (via description) batch_6a36710b582c8190a9510e1ab6c5d1e0 completed June 20, 2026, 10:52 a.m.
Created at: May 1, 2026, 1:47 a.m.