Triple
T35707031
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grand Slam wheelchair tennis circuit |
E1031746
|
entity |
| Predicate | surfaceVariesWith |
P126080
|
FINISHED |
| Object | Grand Slam host tournament surface |
—
|
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: Grand Slam host tournament surface | Statement: [Grand Slam wheelchair tennis circuit, surfaceVariesWith, Grand Slam host tournament surface]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: surfaceVariesWith Context triple: [Grand Slam wheelchair tennis circuit, surfaceVariesWith, Grand Slam host tournament surface]
-
A.
attributeVariesBy
chosen
Indicates that a particular attribute can take on different values depending on another variable, context, or condition.
-
B.
viewVariesAmong
Indicates that the way something is viewed, perceived, or interpreted differs across multiple entities or contexts.
-
C.
structureVariesBy
Indicates that the structure or configuration of one entity changes depending on or is different for another specified factor or context.
-
D.
surfaceType
Indicates the kind or classification of surface associated with an entity or interaction.
-
E.
surfaceCover
Indicates that one entity forms the material or layer that covers the outer surface of another entity.
- 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_69f76e0d393c8190b6303c64408736db |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7a34f8ee08190a040304635539a8f |
completed | May 3, 2026, 7:34 p.m. |
| PD | Predicate disambiguation | batch_69f7a06f125c8190843af194f042a465 |
completed | May 3, 2026, 7:22 p.m. |
Created at: May 3, 2026, 4:05 p.m.