Triple
T10970284
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WTA Grand Slam |
E259214
|
entity |
| Predicate | tourCategoryComparedTo |
P96911
|
FINISHED |
| Object | higher than WTA 1000 tournaments |
—
|
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: higher than WTA 1000 tournaments | Statement: [WTA Grand Slam, tourCategoryComparedTo, higher than WTA 1000 tournaments]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tourCategoryComparedTo Context triple: [WTA Grand Slam, tourCategoryComparedTo, higher than WTA 1000 tournaments]
-
A.
tourCategory
Indicates the classification or type of a tour (e.g., by theme, style, or purpose) that the tour belongs to.
-
B.
tourWith
Indicates that one entity accompanies another on a tour, sharing the same itinerary or guided experience.
-
C.
tourOf
Indicates that one entity serves as a guided or organized visit through another entity, typically for exploration, education, or sightseeing.
-
D.
tourNameDerivedFrom
Indicates that the name of a tour is derived from, or based on, another specified source or entity.
-
E.
touringScope
Indicates the extent or range of locations, venues, or areas covered by an entity’s tour or touring activity.
- F. None of above. chosen
Provenance (4 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_69d6aa895f4c8190887a15460ef622f4 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d77198e5408190904b2bb603d1bc16 |
completed | April 9, 2026, 9:30 a.m. |
| PD | Predicate disambiguation | batch_69d72e8c27cc81908050590b7a04cafd |
completed | April 9, 2026, 4:43 a.m. |
| PDg | Predicate description generation | batch_69d7322370648190ba14cdd6fb4cdcb0 |
completed | April 9, 2026, 4:59 a.m. |
Created at: April 8, 2026, 9:24 p.m.