Triple
T10684633
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sioux Falls Skyforce |
E251843
|
entity |
| Predicate | recordSeasonWinsYear |
P51766
|
FINISHED |
| Object | 2015–16 |
—
|
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: 2015–16 | Statement: [Sioux Falls Skyforce, recordSeasonWinsYear, 2015–16]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: recordSeasonWinsYear Context triple: [Sioux Falls Skyforce, recordSeasonWinsYear, 2015–16]
-
A.
seasonRecordWins
Indicates the number of games a team has won during a specific season.
-
B.
seasonWins
chosen
Indicates the number of games or competitions a team or individual has won during a specific season.
-
C.
winsInSingleSeason
Indicates that one entity achieves a specified number of wins within a single competitive season.
-
D.
mostWinsYears
Indicates the years during which an entity achieved the highest number of wins compared to others or compared to its own performance in other years.
-
E.
gamesWonLeaderSeasons
Indicates that the subject entity led (or was among the leaders) in total games won during one or more seasons.
- 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_69d6aa5bd7c08190a816e733b4045c23 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6fcc5134c8190bcb1d96a32634c17 |
completed | April 9, 2026, 1:11 a.m. |
| PD | Predicate disambiguation | batch_69d6dd8cc0788190b4c02a772e4b58b3 |
completed | April 8, 2026, 10:58 p.m. |
Created at: April 8, 2026, 9:10 p.m.