Triple
T580484
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | USL League One |
E15044
|
entity |
| Predicate | hasRegularSeasonTable |
P11178
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [USL League One, hasRegularSeasonTable, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRegularSeasonTable Context triple: [USL League One, hasRegularSeasonTable, yes]
-
A.
usesRegularSeasonStandingsFor
Indicates that one entity determines outcomes or decisions based on the regular season standings of another entity.
-
B.
hasStandings
chosen
Indicates that an entity possesses or is associated with a set of rankings, positions, or status levels within a competitive or comparative context.
-
C.
includesPostseasonIn
Indicates that a time period, schedule, or dataset explicitly encompasses postseason games or events in addition to the regular season.
-
D.
hasSeason
Indicates that an entity possesses, occurs during, or is associated with a particular season or set of seasons.
-
E.
regularSeasonWeeks
Indicates the number of weeks that make up the regular season portion of a schedule or competition.
- 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_69a4935783b8819082b77726ec10cc42 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49b82b5248190ac863407e8207a3b |
completed | March 1, 2026, 8:03 p.m. |
| PD | Predicate disambiguation | batch_69a494c7f9008190bd8d05b4dc2a7c7f |
completed | March 1, 2026, 7:34 p.m. |
Created at: March 1, 2026, 7:33 p.m.