Triple
T24971057
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Association of Tennis Professionals |
E624889
|
entity |
| Predicate | introducedComputerRankings |
P158756
|
FINISHED |
| Object | 1973 |
—
|
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: 1973 | Statement: [Association of Tennis Professionals, introducedComputerRankings, 1973]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: introducedComputerRankings Context triple: [Association of Tennis Professionals, introducedComputerRankings, 1973]
-
A.
usedComputerRankings
Indicates that the selection or decision was based on rankings generated by a computer system.
-
B.
introducedRankings
chosen
Indicates that an entity initiated or brought into use a system or list that orders items or individuals by rank.
-
C.
notableComputerMilestone
Indicates that an event, development, or achievement represents a significant milestone in the history or advancement of computers or computing technology.
-
D.
firstSystemToTopFourBenchmarks
Indicates that a system is the first one to achieve top performance across four specified benchmark evaluations.
-
E.
top500List
Indicates that an entity is included in a ranking or compilation of the top 500 items within a particular domain or category.
- 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_69e2ff24512481908e9a72315b8d0354 |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f497bc12b881908fe3386c66252bf6 |
completed | May 1, 2026, 12:08 p.m. |
| PD | Predicate disambiguation | batch_69f49366e8d08190adb4b71fe3a14683 |
completed | May 1, 2026, 11:49 a.m. |
Created at: April 18, 2026, 6:01 a.m.