Triple
T29215740
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PGA National Resort & Spa |
E740662
|
entity |
| Predicate | BearTrapCourse |
P166770
|
FINISHED |
| Object | The Champion |
—
|
NE NERFINISHED |
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: The Champion | Statement: [PGA National Resort & Spa, BearTrapCourse, The Champion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: BearTrapCourse Context triple: [PGA National Resort & Spa, BearTrapCourse, The Champion]
-
A.
trainingGround
Indicates a location or context where entities engage in practice, drills, or preparation activities to develop or improve skills.
-
B.
providesTrainingFor
Indicates that one entity delivers or conducts training activities intended to develop the skills or knowledge of another entity.
-
C.
trainingUnder
Indicates that one entity is receiving instruction, guidance, or mentorship from another, typically in a subordinate or apprentice-like capacity.
-
D.
trap
Indicates that an entity captures, confines, or ensnares another entity, typically preventing its escape or movement.
-
E.
trailblazerFor
Indicates that one entity serves as a pioneering example, opening the way or setting a precedent for another entity to follow or build upon.
- 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_69f07cba2f808190a2746477d4e8345b |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69f664099f388190a69b090d5ce32d18 |
completed | May 2, 2026, 8:52 p.m. |
| PD | Predicate disambiguation | batch_69f660f2e3708190ab658652bcfc04d0 |
completed | May 2, 2026, 8:39 p.m. |
| PDg | Predicate description generation | batch_69f661e9cb308190a56e25dc17df248e |
completed | May 2, 2026, 8:43 p.m. |
Created at: April 28, 2026, 12:13 p.m.