Triple
T3353235
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Super Bowl XIII |
E70543
|
entity |
| Predicate | pittsburghSteelersSuperBowlTitleNumber |
P38904
|
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: [Super Bowl XIII, pittsburghSteelersSuperBowlTitleNumber, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pittsburghSteelersSuperBowlTitleNumber Context triple: [Super Bowl XIII, pittsburghSteelersSuperBowlTitleNumber, 3]
-
A.
conferenceTitlesWonWithSteelers
Indicates the number of conference titles an entity has won while associated with the Steelers.
-
B.
PatriotsSuperBowlTitleNumber
Indicates the ordinal number of a Super Bowl championship title won by the New England Patriots.
-
C.
divisionTitlesWonWithSteelers
Indicates the number of division titles an entity has won while associated with the Steelers.
-
D.
superBowlTitlesWith
chosen
Indicates that one entity has won a specified number of Super Bowl titles associated with another entity (such as a team or organization).
-
E.
team1SuperBowlTitles
Indicates the number of Super Bowl championships that the first team 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_69ad85a4ef7c8190a29e2bbd6fa454e4 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb23ec53881908a04c7f784fe8c43 |
completed | March 8, 2026, 5:30 p.m. |
| PD | Predicate disambiguation | batch_69ada42fbe7c8190b9f185b5ab985f17 |
completed | March 8, 2026, 4:30 p.m. |
Created at: March 8, 2026, 3:13 p.m.