Triple
T24902536
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ATP Tour Masters 1000 |
E623618
|
entity |
| Predicate | tourCategoryBelow |
P96911
|
FINISHED |
| Object | ATP Tour 500 |
—
|
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: ATP Tour 500 | Statement: [ATP Tour Masters 1000, tourCategoryBelow, ATP Tour 500]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tourCategoryBelow Context triple: [ATP Tour Masters 1000, tourCategoryBelow, ATP Tour 500]
-
A.
tourCategory
Indicates the classification or type of a tour (e.g., by theme, style, or purpose) that the tour belongs to.
-
B.
typicalTourCategory
Indicates that a tour typically belongs to or is classified under a particular tour category.
-
C.
tourCategoryComparedTo
chosen
Indicates how one tour’s category is evaluated or contrasted relative to another tour’s category.
-
D.
tourComponentOf
Indicates that something functions as a constituent part or segment of a larger tour.
-
E.
countryTourismCategory
Indicates the tourism classification or category assigned to a country based on its tourism characteristics or status.
- 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_69e2fac797cc8190b30d77f4121099ac |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f44a417a58819081777e18dda149fd |
completed | May 1, 2026, 6:37 a.m. |
| PD | Predicate disambiguation | batch_69f442b8479c8190a7c8e416ac9e28a0 |
completed | May 1, 2026, 6:05 a.m. |
Created at: April 18, 2026, 5:27 a.m.