Triple
T22148254
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1965 NFL Championship Game |
E547345
|
entity |
| Predicate | homeTeamLeagueTitleCountAfterGame |
P13593
|
FINISHED |
| Object | 9 |
—
|
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: 9 | Statement: [1965 NFL Championship Game, homeTeamLeagueTitleCountAfterGame, 9]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: homeTeamLeagueTitleCountAfterGame Context triple: [1965 NFL Championship Game, homeTeamLeagueTitleCountAfterGame, 9]
-
A.
homeTeamTitleCountAfterMatch
chosen
Indicates the total number of titles the home team has accumulated after the completion of the referenced match.
-
B.
homeLeagueRecordAfterGame
Indicates the updated performance record of a team in its home league immediately following a specific game.
-
C.
playedHomeGamesUntil
Indicates the period up to which a team or player hosted their home games at a particular venue.
-
D.
homeTeamUntil
Indicates that an entity serves as the home team for another entity up to (but not necessarily after) a specified time or event.
-
E.
winningTeamSuperBowlTitlesAfterGame
Indicates the number of Super Bowl titles a team has won after a specific game has been played.
- 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_69e11e3b52088190ad5df386d01eb2fb |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f129f209688190afea1f275c922c73 |
completed | April 28, 2026, 9:43 p.m. |
| PD | Predicate disambiguation | batch_69e71b384e008190b723c9a0f1089d66 |
completed | April 21, 2026, 6:37 a.m. |
Created at: April 16, 2026, 8:33 p.m.