Triple
T28671132
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WTA rankings |
E725721
|
entity |
| Predicate | lowerPointsFrom |
P11456
|
FINISHED |
| Object | WTA 500 tournaments |
—
|
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: WTA 500 tournaments | Statement: [WTA rankings, lowerPointsFrom, WTA 500 tournaments]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lowerPointsFrom Context triple: [WTA rankings, lowerPointsFrom, WTA 500 tournaments]
-
A.
lowerLocation
Indicates that one entity is located physically below or at a lower vertical position relative to another entity.
-
B.
lowerRank
chosen
Indicates that one entity holds an inferior or subordinate rank, status, or position relative to another entity.
-
C.
lowerValueIndicates
Indicates that a smaller numerical value of a property or measurement corresponds to a greater degree, better outcome, or stronger presence of the relevant characteristic.
-
D.
lowestPointsNear
Indicates that one entity identifies or specifies the locations of the lowest points in elevation or value in the vicinity of another entity.
-
E.
bottomPointRepresents
Indicates that a specific bottom point in a representation corresponds to or stands for another entity, value, or feature in the modeled system.
- 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_69f01d85be388190b669a0e401e2f2c4 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69f6617ba4a88190bfc5c305acb4f93f |
completed | May 2, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69f660f082508190a95a7888ad66cb2e |
completed | May 2, 2026, 8:39 p.m. |
Created at: April 28, 2026, 5:03 a.m.