Triple
T32934640
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aaron Chia |
E842492
|
entity |
| Predicate | rankingDiscipline |
P179726
|
FINISHED |
| Object | men's doubles |
—
|
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: men's doubles | Statement: [Aaron Chia, rankingDiscipline, men's doubles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rankingDiscipline Context triple: [Aaron Chia, rankingDiscipline, men's doubles]
-
A.
rankingType
Indicates the specific basis or method by which items are ordered or ranked relative to one another.
-
B.
strokeDiscipline
Indicates the specific swimming stroke or discipline associated with a swimming-related event, performance, or activity.
-
C.
inSportDiscipline
chosen
Indicates that an entity participates, competes, or is involved in a specific sport discipline or event.
-
D.
sportClassificationSystem
Indicates a system or scheme used to categorize and organize sports into defined types, groups, or classes based on shared characteristics or rules.
-
E.
rankingPoints
Indicates the number of points assigned to an entity based on its position or performance in a ranking or competition.
- 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_69f34948adfc8190a937f1f622783c0b |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f791cc969c8190bf187d6031a030d5 |
completed | May 3, 2026, 6:19 p.m. |
| PD | Predicate disambiguation | batch_69f791033d288190b118029fe412b9c9 |
completed | May 3, 2026, 6:16 p.m. |
Created at: May 1, 2026, 1:20 a.m.