Triple
T13413112
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | US Open wheelchair doubles |
E320139
|
entity |
| Predicate | ruleAdaptation |
P24476
|
FINISHED |
| Object | two-bounce rule for wheelchair tennis |
—
|
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: two-bounce rule for wheelchair tennis | Statement: [US Open wheelchair doubles, ruleAdaptation, two-bounce rule for wheelchair tennis]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ruleAdaptation Context triple: [US Open wheelchair doubles, ruleAdaptation, two-bounce rule for wheelchair tennis]
-
A.
typicalRuleModification
chosen
Indicates a change made to a standard or default rule, adjusting how that rule normally applies or operates.
-
B.
plannedAdaptation
Indicates that an adaptation or modification has been intentionally designed or scheduled to occur in response to certain conditions or goals.
-
C.
billAdaptation
Indicates that a bill or legislative proposal has been modified or adjusted, typically in response to feedback, new information, or changing conditions.
-
D.
mayAdapt
Indicates that one entity is permitted or allowed to modify, adjust, or alter another entity.
-
E.
isAdaptation
Indicates that one work is derived from, based on, or reinterprets the content of another work.
- 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_69d806b943cc8190b6af624d385d7e12 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaeb556948190af008c88e5bbf051 |
completed | April 12, 2026, 2:39 p.m. |
| PD | Predicate disambiguation | batch_69d9a0355de48190bb3fb96912e20df3 |
completed | April 11, 2026, 1:13 a.m. |
Created at: April 9, 2026, 9:35 p.m.