Triple
T4439143
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Ontario |
E95725
|
entity |
| Predicate | typicalSeasonMatchupsPerYear |
P12965
|
FINISHED |
| Object | multiple regular‑season games |
—
|
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: multiple regular‑season games | Statement: [Battle of Ontario, typicalSeasonMatchupsPerYear, multiple regular‑season games]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalSeasonMatchupsPerYear Context triple: [Battle of Ontario, typicalSeasonMatchupsPerYear, multiple regular‑season games]
-
A.
totalMatchesPerSeason
Indicates the total number of matches associated with an entity within a single season.
-
B.
matchupFrequency
chosen
Indicates how often a particular pair or set of entities are matched or paired against each other within a given context or timeframe.
-
C.
divisionGamesPerSeasonBetweenTeams
Indicates the number of games played per season between two teams within the same division.
-
D.
seasonSeriesPlayedPerYear
Indicates the number of series played in a season during a given year.
-
E.
conferenceGamesPerSeasonBetweenTeams
Indicates the number of conference games played per season between the specified teams.
- 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_69b3453ea2b48190a26f154b3b8fece5 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b355aaa9288190b95d875d343d6ee5 |
completed | March 13, 2026, 12:09 a.m. |
| PD | Predicate disambiguation | batch_69b34f6078cc8190831b89f404198cc5 |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:31 p.m.