Triple
T28985134
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swedish Basketball League |
E734658
|
entity |
| Predicate | hasCompetitionFormatElement |
P26034
|
FINISHED |
| Object | standings table |
—
|
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: standings table | Statement: [Swedish Basketball League, hasCompetitionFormatElement, standings table]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCompetitionFormatElement Context triple: [Swedish Basketball League, hasCompetitionFormatElement, standings table]
-
A.
hasCompetitionElement
chosen
Indicates that one entity includes, involves, or is associated with a specific competitive component, aspect, or feature.
-
B.
appliesToCompetitionFormat
Indicates that something is relevant or specifically designed for a particular competition format.
-
C.
hasFormatElement
Indicates that one entity includes, is composed of, or is associated with a specific structural or formatting component of its overall format.
-
D.
hasCompetitionContext
Indicates that an entity is associated with or occurs within a specific competitive setting, event, or environment.
-
E.
competitionFormat
Indicates the specific structure or ruleset under which a competition is organized and conducted.
- 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_69f05b0dd9b481908b7901e1c95ff6b2 |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_6a00119d821c8190874786391b27ef23 |
completed | May 10, 2026, 5:03 a.m. |
| PD | Predicate disambiguation | batch_6a001143fb6881909ac0ae8bfea04351 |
completed | May 10, 2026, 5:01 a.m. |
Created at: April 28, 2026, 9:13 a.m.