Triple
T26362989
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grand Prix de Trois-Rivières |
E660256
|
entity |
| Predicate | hasHostedSeries |
P26159
|
FINISHED |
| Object |
CART Atlantic Championship
The CART Atlantic Championship was a North American open-wheel racing series that served as a key developmental ladder to top-tier championships like CART and later Champ Car.
|
E1720702
|
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: CART Atlantic Championship | Statement: [Grand Prix de Trois-Rivières, hasHostedSeries, CART Atlantic Championship]
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: CART Atlantic Championship Triple: [Grand Prix de Trois-Rivières, hasHostedSeries, CART Atlantic Championship]
Generated description
The CART Atlantic Championship was a North American open-wheel racing series that served as a key developmental ladder to top-tier championships like CART and later Champ Car.
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_69ee8126d52c8190bc0b34337c2c9aa8 |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f610293cd88190894969a031f85edd |
completed | May 2, 2026, 2:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a119a6dc7d48190b79e553933fcc3b8 |
completed | May 23, 2026, 12:15 p.m. |
| NEDg | Description generation | batch_6a119b2be6d481909c7ab1a8ee3f20fe |
completed | May 23, 2026, 12:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a119bad614481909156c765ce266350 |
completed | May 23, 2026, 12:21 p.m. |
Created at: April 26, 2026, 10:53 p.m.