Triple
T19208890
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clemson Tigers baseball |
E480305
|
entity |
| Predicate | hasHostedNCaasuperRegionals |
P134976
|
FINISHED |
| Object | yes |
—
|
LITERAL 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: yes | Statement: [Clemson Tigers baseball, hasHostedNCaasuperRegionals, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHostedNCaasuperRegionals Context triple: [Clemson Tigers baseball, hasHostedNCaasuperRegionals, yes]
-
A.
hasHostedSport
Indicates that a place or organization has served as the venue or organizer for one or more sporting events.
-
B.
hasHostedVenue
Indicates that a particular venue has served as the location for hosting a specific event or activity.
-
C.
hasBeenHostedIn
Indicates that an event, show, or activity took place or was conducted at a particular location or venue in the past.
-
D.
hasHostNation
Indicates that one entity serves as the host nation for another entity, such as an event, organization, or activity.
-
E.
hostedDuring
Indicates that one entity hosted, organized, or held another entity (such as an event or activity) within a specified time period.
- F. None of above. chosen
Provenance (4 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_69d8e8cb8c348190b52075823911c869 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5f9a000188190afb762ea24bc3deb |
completed | April 20, 2026, 10:02 a.m. |
| PD | Predicate disambiguation | batch_69e4dcf22b3c8190bee02e3af946e114 |
completed | April 19, 2026, 1:47 p.m. |
| PDg | Predicate description generation | batch_69e4ddcf50108190a09d0f1291c17374 |
completed | April 19, 2026, 1:51 p.m. |
Created at: April 10, 2026, 1:20 p.m.