Triple
T35370480
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NASCAR K&N Pro Series East |
E1021755
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object |
NASCAR developmental ladder
The NASCAR developmental ladder is a structured progression of racing series designed to train and advance drivers from grassroots and regional competitions up to NASCAR’s top national divisions.
|
E2136227
|
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: NASCAR developmental ladder | Statement: [NASCAR K&N Pro Series East, partOf, NASCAR developmental ladder]
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: NASCAR developmental ladder Triple: [NASCAR K&N Pro Series East, partOf, NASCAR developmental ladder]
Generated description
The NASCAR developmental ladder is a structured progression of racing series designed to train and advance drivers from grassroots and regional competitions up to NASCAR’s top national divisions.
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_69f76df000488190ab7c97f565677055 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f791d63ec08190906465db3380f4b6 |
completed | May 3, 2026, 6:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3823e1430c8190a6c902cf947b09d0 |
completed | June 21, 2026, 5:48 p.m. |
| NEDg | Description generation | batch_6a3824533b3c819082f13f9a231b9643 |
completed | June 21, 2026, 5:50 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a3825338a88819090c8dfafb2dc5e42 |
completed | June 21, 2026, 5:53 p.m. |
Created at: May 3, 2026, 4:03 p.m.