Triple
T15223644
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1939 NFL Championship Game |
E363821
|
entity |
| Predicate | championTitleCountForGreenBayPackers |
P72252
|
FINISHED |
| Object | 5 |
—
|
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: 5 | Statement: [1939 NFL Championship Game, championTitleCountForGreenBayPackers, 5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: championTitleCountForGreenBayPackers Context triple: [1939 NFL Championship Game, championTitleCountForGreenBayPackers, 5]
-
A.
teamGreenBayDivision
Indicates that a team is in the same division as the Green Bay football team within a sports league.
-
B.
eraOfPackersDominance
Indicates a time period during which the Packers consistently dominated their competition or league.
-
C.
quarterbackGreenBay
Indicates that an entity serves as the quarterback for the Green Bay football team.
-
D.
SuperBowlChampionCount
Indicates the number of Super Bowl championships an entity (typically a team or franchise) has won.
-
E.
NFLChampionshipsWon
chosen
Indicates the number of NFL championship titles that an entity (typically a team or franchise) has won.
- 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_69d85a0ce24c81909c4d3b6475548c95 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0078a9318819081db3b7bcc28e04f |
completed | April 15, 2026, 9:47 p.m. |
| PD | Predicate disambiguation | batch_69deca8479188190b2e5d3bc708d7d07 |
completed | April 14, 2026, 11:15 p.m. |
Created at: April 10, 2026, 3:12 a.m.