Triple
T35774497
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1946 NFL Championship |
E1034253
|
entity |
| Predicate | divisionOfWinningTeam |
P48347
|
FINISHED |
| Object | Western Division |
—
|
NE NERFINISHED |
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: Western Division | Statement: [1946 NFL Championship, divisionOfWinningTeam, Western Division]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: divisionOfWinningTeam Context triple: [1946 NFL Championship, divisionOfWinningTeam, Western Division]
-
A.
winningTeamDivision
chosen
Indicates the division to which the team that won a given game, match, or competition belongs.
-
B.
winningTeam
Indicates which team is the victor in a given competition, game, or contest.
-
C.
divisionWinnerTeam2
Indicates that the second team is the winner of its division in a competition or league.
-
D.
managerWinningTeam
Indicates that the subject is the manager or coach of the team that won a particular competition or match.
-
E.
winningTeamScore
Indicates the number of points or goals achieved by the team that wins a particular game or competition.
- 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_69f76e14a1e081908eddd57bd6fdb3be |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7aa699d68819081ed363931894ab3 |
completed | May 3, 2026, 8:04 p.m. |
| PD | Predicate disambiguation | batch_69f7a8d219f8819081dc4ce3c83ca0cb |
completed | May 3, 2026, 7:58 p.m. |
Created at: May 3, 2026, 4:06 p.m.