Triple
T28670710
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ITF Wheelchair Tennis Tour |
E725709
|
entity |
| Predicate | rankingUsage |
P173383
|
FINISHED |
| Object | determines tournament entry |
—
|
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: determines tournament entry | Statement: [ITF Wheelchair Tennis Tour, rankingUsage, determines tournament entry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rankingUsage Context triple: [ITF Wheelchair Tennis Tour, rankingUsage, determines tournament entry]
-
A.
rankingScope
Indicates the context or domain within which a ranking is defined, interpreted, or applied.
-
B.
rankingType
Indicates the specific basis or method by which items are ordered or ranked relative to one another.
-
C.
rankingImpact
Indicates how an entity’s position or level in a ranking is affected or influenced by another factor or action.
-
D.
rankExamples
Indicates that one entity orders or scores a set of examples relative to each other, typically by relevance, quality, or importance.
-
E.
rankingBehind
Indicates that one entity holds a lower or later position than another in an ordered ranking or hierarchy.
- 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_69f01d85be388190b669a0e401e2f2c4 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69f6b56ed31481908c3e5d749e46bad9 |
completed | May 3, 2026, 2:39 a.m. |
| PD | Predicate disambiguation | batch_69f6b3a5fd8481909433e923c5e24e55 |
completed | May 3, 2026, 2:32 a.m. |
| PDg | Predicate description generation | batch_69f6b49339048190b617a6749f648825 |
completed | May 3, 2026, 2:36 a.m. |
Created at: April 28, 2026, 5:03 a.m.