Triple
T29127962
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roger Dean Stadium |
E738284
|
entity |
| Predicate | regionSportsRole |
P117304
|
FINISHED |
| Object | Grapefruit League spring training hub |
—
|
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: Grapefruit League spring training hub | Statement: [Roger Dean Stadium, regionSportsRole, Grapefruit League spring training hub]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regionSportsRole Context triple: [Roger Dean Stadium, regionSportsRole, Grapefruit League spring training hub]
-
A.
sportsRegionOf
Indicates that a region is the geographic or administrative area associated with a particular sports entity or activity.
-
B.
sportingRoleRecognised
Indicates that a particular sporting role or position has been formally acknowledged or accepted as valid within a given context or system.
-
C.
stateSport
Indicates that a particular sport is officially associated with, designated by, or representative of a given state.
-
D.
roleAtTheAthletic
Indicates that an entity holds or held a specific role or position at The Athletic.
-
E.
hasSportsRole
chosen
Indicates that an entity holds or is assigned a specific role or position within a sports context or organization.
- F. None of above.
Provenance (3 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_69f07cb29cdc8190afa55444553de60c |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69fd5bf69acc819092a01e4259785dc3 |
completed | May 8, 2026, 3:43 a.m. |
| PD | Predicate disambiguation | batch_69fd59b3f4ac8190a7f9dd3142da6e09 |
completed | May 8, 2026, 3:34 a.m. |
Created at: April 28, 2026, 11:29 a.m.