Triple
T26077460
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carolina Cup steeplechase |
E657727
|
entity |
| Predicate | hasCategory |
P87
|
FINISHED |
| Object |
Sports in South Carolina
Sports in South Carolina encompasses the state’s rich athletic culture, including college football powerhouses, NASCAR racing, golf, and traditional equestrian events like the Carolina Cup steeplechase.
|
E1708072
|
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: Sports in South Carolina | Statement: [Carolina Cup steeplechase, hasCategory, Sports in South Carolina]
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: Sports in South Carolina Triple: [Carolina Cup steeplechase, hasCategory, Sports in South Carolina]
Generated description
Sports in South Carolina encompasses the state’s rich athletic culture, including college football powerhouses, NASCAR racing, golf, and traditional equestrian events like the Carolina Cup steeplechase.
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_69ee5bbf0d208190801ee95d4f07fb16 |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69f606d0605881909bd9480afe480bd4 |
completed | May 2, 2026, 2:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a111b341c848190be77e21bede34457 |
completed | May 23, 2026, 3:12 a.m. |
| NEDg | Description generation | batch_6a111c6d51308190a083d3a650e57c94 |
completed | May 23, 2026, 3:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a111dca95888190bbe8b18c7603a5ba |
completed | May 23, 2026, 3:23 a.m. |
Created at: April 26, 2026, 7:35 p.m.