Triple
T7425880
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NBA All-NBA Team |
E171366
|
entity |
| Predicate | originalTotalPlayersPerYear |
P76910
|
FINISHED |
| Object | 10 |
—
|
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: 10 | Statement: [NBA All-NBA Team, originalTotalPlayersPerYear, 10]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalTotalPlayersPerYear Context triple: [NBA All-NBA Team, originalTotalPlayersPerYear, 10]
-
A.
seasonYears
Indicates the span of calendar years during which a particular season (e.g., of a show, competition, or activity) takes place or is valid.
-
B.
totalCommonYears
Indicates the total number of years that two or more entities have in common, such as overlapping durations or shared time periods.
-
C.
seasonSeriesPlayedPerYear
Indicates the number of series played in a season during a given year.
-
D.
numberOfMedalsPerYear
Indicates the quantity of medals associated with or awarded in a given year.
-
E.
singleGamePointsRecordYear
Indicates the year in which a single-game points record was set.
- 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_69c68a625d048190af70eb8b63bec5a0 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f303eb988190ba9df7946fce1c86 |
completed | March 27, 2026, 9:13 p.m. |
| PD | Predicate disambiguation | batch_69c6f03648d08190b862d07fef71210c |
completed | March 27, 2026, 9:01 p.m. |
| PDg | Predicate description generation | batch_69c6f1ee5ab8819091082324f2dc3b8c |
completed | March 27, 2026, 9:09 p.m. |
Created at: March 27, 2026, 3:12 p.m.