Triple
T24971074
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ATP 500 |
E624890
|
entity |
| Predicate | tierRelativeToATP1000 |
P157482
|
FINISHED |
| Object | lower |
—
|
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: lower | Statement: [ATP 500, tierRelativeToATP1000, lower]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tierRelativeToATP1000 Context triple: [ATP 500, tierRelativeToATP1000, lower]
-
A.
ATPMasters1000TitlesYear
Indicates the number of ATP Masters 1000 tournament titles a player wins in a specific calendar year.
-
B.
ATPMasters1000Titles
Indicates the number of ATP Masters 1000 tournament titles won by a player.
-
C.
ATPtourLevelTitles
Indicates the number of ATP Tour–level tournament titles a player has won.
-
D.
powerRating
Indicates the level or amount of power associated with an entity, typically expressing its strength, capacity, or performance capability.
-
E.
relationToGrandSlams
Indicates the relationship an entity has to Grand Slam tournaments, such as participation, performance, or achievement within them.
- 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_69e2ff24512481908e9a72315b8d0354 |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f4490283c481908c18246dc7125eec |
completed | May 1, 2026, 6:32 a.m. |
| PD | Predicate disambiguation | batch_69f442c0c2e88190acd7f170f10ccef6 |
completed | May 1, 2026, 6:05 a.m. |
| PDg | Predicate description generation | batch_69f448fe11f08190bdd53ca7ba2d51e4 |
completed | May 1, 2026, 6:32 a.m. |
Created at: April 18, 2026, 6:01 a.m.