Triple
T15658678
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tobiano Golf Course |
E376513
|
entity |
| Predicate | hasPlayingSeason |
P1014
|
FINISHED |
| Object | spring to fall |
—
|
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: spring to fall | Statement: [Tobiano Golf Course, hasPlayingSeason, spring to fall]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPlayingSeason Context triple: [Tobiano Golf Course, hasPlayingSeason, spring to fall]
-
A.
hasRegularSeason
Indicates that an entity (such as a league, competition, or sport) includes or is associated with a defined regular season phase of play.
-
B.
hasSeason
chosen
Indicates that an entity possesses, occurs during, or is associated with a particular season or set of seasons.
-
C.
sportSeasonOf
Indicates that one entity is a sports season that belongs to, or is part of, the overall history or schedule of the specified sport.
-
D.
hasOpeningMatchSeason
Indicates that an entity has a specific match designated as the opening match of a particular season.
-
E.
playedSeasonType
Indicates that an entity participated in or was involved with a particular type of season (e.g., regular season, playoffs, preseason) within a competition or schedule.
- 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_69d85cd1564c8190991adda63bfab4b0 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04ef3cb8c8190a10815b675b341c1 |
completed | April 16, 2026, 2:52 a.m. |
| PD | Predicate disambiguation | batch_69deda890140819082608931e993dd61 |
completed | April 15, 2026, 12:23 a.m. |
Created at: April 10, 2026, 4:15 a.m.