Triple
T22035727
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2015–16 NBA G League season |
E544200
|
entity |
| Predicate | mostLossesNumber |
P14131
|
FINISHED |
| Object | 30 |
—
|
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: 30 | Statement: [2015–16 NBA G League season, mostLossesNumber, 30]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mostLossesNumber Context triple: [2015–16 NBA G League season, mostLossesNumber, 30]
-
A.
mostLossesTeam
Indicates the team that has incurred the greatest number of losses within a given set of teams or season.
-
B.
mostGamesLostBy
Indicates that one entity holds the record for having lost the greatest number of games to another entity.
-
C.
mostGamesWonBy
Indicates that one entity holds the record for having won the greatest number of games compared to others in a given context.
-
D.
goalsByLosingTeam
Indicates the number of goals scored by the team that ultimately lost the match.
-
E.
seasonRecordLosses
chosen
Indicates the number of games a team lost during a specific season.
- 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_69e11e2f98c8819083e11eab90942a78 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127f1f95c8190a324c84313cd91ee |
completed | April 28, 2026, 9:34 p.m. |
| PD | Predicate disambiguation | batch_69e6f63b0d048190b241622759aab9de |
completed | April 21, 2026, 3:59 a.m. |
Created at: April 16, 2026, 8:25 p.m.