Triple
T3323404
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | State of Origin series |
E69851
|
entity |
| Predicate | numberOfGamesPerSeries |
P6413
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [State of Origin series, numberOfGamesPerSeries, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfGamesPerSeries Context triple: [State of Origin series, numberOfGamesPerSeries, 3]
-
A.
gameNumberInSeries
Indicates which numbered game within a series or sequence of games a particular game is.
-
B.
numberOfGamesScheduled
chosen
Indicates the total count of games that have been planned or arranged for a given entity or time period.
-
C.
WorldSeriesGames
Indicates a relationship where a game is identified as one of the games that make up a particular World Series.
-
D.
seriesWinningGame
Indicates that a particular game is the decisive or clinching game in which one side wins the overall series.
-
E.
numberOfSeries
Indicates the total count of distinct series associated with or contained within a given entity.
- 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_69ad85a1829881908942c14075644d0d |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb13e6c288190805f8abcd3acc906 |
completed | March 8, 2026, 5:26 p.m. |
| PD | Predicate disambiguation | batch_69ada42a19348190a3862ce02451f4aa |
completed | March 8, 2026, 4:30 p.m. |
Created at: March 8, 2026, 3:11 p.m.