Triple
T3904430
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1999 St. Louis Rams offense |
E90570
|
entity |
| Predicate | totalYards |
P34478
|
FINISHED |
| Object | over 6000 |
—
|
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: over 6000 | Statement: [1999 St. Louis Rams offense, totalYards, over 6000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: totalYards Context triple: [1999 St. Louis Rams offense, totalYards, over 6000]
-
A.
hasYardage
chosen
Indicates that something possesses or is associated with a specific measured distance or length, typically expressed in yards.
-
B.
hasYard
Indicates that one entity possesses or includes a yard as part of its property or premises.
-
C.
ledLeagueInYardsFromScrimmage
Indicates that the subject achieved the highest total yards gained from scrimmage in the league for a given season or period.
-
D.
totalPointsScored
Indicates the total number of points accumulated or scored by an entity over a defined period, event, or context.
-
E.
ledNFLInPassingYards
Indicates that the subject was the league leader in total passing yards in the NFL for a given season.
- 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_69aed95d315881908cbf1bf4a7215fbf |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef1abe2dc81909c18aeae9b286898 |
completed | March 9, 2026, 4:13 p.m. |
| PD | Predicate disambiguation | batch_69aee75cff148190b6d5979d17fae085 |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:22 p.m.