Triple
T28580631
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2009 NFC Championship |
E723363
|
entity |
| Predicate | saintsTotalYards |
P164887
|
FINISHED |
| Object | 257 |
—
|
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: 257 | Statement: [2009 NFC Championship, saintsTotalYards, 257]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: saintsTotalYards Context triple: [2009 NFC Championship, saintsTotalYards, 257]
-
A.
saintsTurnovers
Indicates the number of times the Saints lose possession of the ball to the opposing team through turnovers.
-
B.
ledNFLInPassingYards
Indicates that the subject was the league leader in total passing yards in the NFL for a given season.
-
C.
rushingYardsWithTeam
Indicates the number of rushing yards a player gained while playing for a specific team.
-
D.
nflCareerSacks
Indicates the number of times a defensive player has successfully tackled the opposing quarterback behind the line of scrimmage during their NFL career.
-
E.
sackTotalNFL
Indicates the total number of quarterback sacks recorded in NFL play for the given entity.
- F. None of above. chosen
Provenance (4 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_69f01d7e97708190ae9e77ee66a68abd |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69f6562fd3488190be1acd8c526a28d2 |
completed | May 2, 2026, 7:53 p.m. |
| PD | Predicate disambiguation | batch_69f651aad92c8190b874b3b5f9f64434 |
completed | May 2, 2026, 7:34 p.m. |
| PDg | Predicate description generation | batch_69f652a3a8208190a4fdd66f34138bd2 |
completed | May 2, 2026, 7:38 p.m. |
Created at: April 28, 2026, 4:14 a.m.