Triple
T28405964
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WTA Tour (North American events) |
E719527
|
entity |
| Predicate | seasonSegment |
P143562
|
FINISHED |
| Object | North American hard-court swing |
—
|
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: North American hard-court swing | Statement: [WTA Tour (North American events), seasonSegment, North American hard-court swing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seasonSegment Context triple: [WTA Tour (North American events), seasonSegment, North American hard-court swing]
-
A.
tourSeasonSegment
chosen
Indicates a specific segment or portion of a tour that occurs within a defined season or seasonal period.
-
B.
seasonLabel
Indicates the specific season (e.g., spring, summer, fall, winter, or a numbered TV season) associated with an entity.
-
C.
seasonHalf
Indicates that one time period represents a half (first or second portion) of a specific sports season or annual season.
-
D.
seasonOrEdition
Indicates that one entity is a particular season or edition of another, such as a specific installment within a series or recurring event.
-
E.
seasonHeld
Indicates that a particular season of an event, competition, or series took place or was conducted during a specified time or at a specified location.
- 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_69eff6f0f37c8190b37bc6fab08a9449 |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_69f7221dc9a88190bb8194fcc29c42bc |
completed | May 3, 2026, 10:23 a.m. |
| PD | Predicate disambiguation | batch_69f72153a9188190b02adc84e1be4af8 |
completed | May 3, 2026, 10:20 a.m. |
Created at: April 28, 2026, 1:23 a.m.