Triple
T12169174
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ottawa Renegades |
E289911
|
entity |
| Predicate | seasonsPlayed |
P14050
|
FINISHED |
| Object | 4 |
—
|
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: 4 | Statement: [Ottawa Renegades, seasonsPlayed, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seasonsPlayed Context triple: [Ottawa Renegades, seasonsPlayed, 4]
-
A.
numberOfSeasonsWithTeam
chosen
Indicates the total count of seasons an entity (e.g., a player or coach) has spent with a particular team.
-
B.
seasonSeriesPlayedPerYear
Indicates the number of series played in a season during a given year.
-
C.
careerSeasons
Indicates the number or set of seasons during which an entity actively participated in a particular career or professional role.
-
D.
totalSeasonsManaged
Indicates the total number of seasons during which an entity has managed another entity (such as a team, organization, or project).
-
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_69d6ab4d6c00819095a9a7c35de83cfb |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d91621ca6c81908365732f361aef13 |
completed | April 10, 2026, 3:24 p.m. |
| PD | Predicate disambiguation | batch_69d9150e85348190b9b47cda4a17dcd0 |
completed | April 10, 2026, 3:19 p.m. |
Created at: April 8, 2026, 9:50 p.m.