Triple
T13413110
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | US Open wheelchair doubles |
E320139
|
entity |
| Predicate | parallelToEvent |
P49041
|
FINISHED |
| Object | US Open able-bodied doubles events |
—
|
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: US Open able-bodied doubles events | Statement: [US Open wheelchair doubles, parallelToEvent, US Open able-bodied doubles events]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: parallelToEvent Context triple: [US Open wheelchair doubles, parallelToEvent, US Open able-bodied doubles events]
-
A.
parallelEvent
chosen
Indicates that two or more events occur at the same time or overlap in time without a required order between them.
-
B.
parallel
Indicates that two or more entities maintain a constant separation and direction without intersecting or converging.
-
C.
parallelPosition
Indicates that two entities occupy positions that are aligned in parallel relative to a reference frame or axis.
-
D.
parallelPassage
Indicates that one text segment corresponds closely in content or structure to another, such that they can be considered parallel versions or accounts of the same material.
-
E.
parentEvent
Indicates that one event serves as the higher-level or originating event from which another event is derived, contained, or logically dependent.
- 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.