Triple
T7187254
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American football |
E167602
|
entity |
| Predicate | twoPointConversionPoints |
P49539
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [American football, twoPointConversionPoints, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: twoPointConversionPoints Context triple: [American football, twoPointConversionPoints, 2]
-
A.
pointsScored
chosen
Indicates the number of points an entity has earned or achieved in a particular event, game, or context.
-
B.
touchdownsScored
Indicates the number of touchdowns that an entity has scored.
-
C.
totalPointsScored
Indicates the total number of points accumulated or scored by an entity over a defined period, event, or context.
-
D.
gameWinningFieldGoalDistance
Indicates the distance from which a decisive, game-winning field goal was successfully kicked.
-
E.
decisiveTouchdownScorer
Indicates the player who scored the touchdown that ultimately determined the outcome of the game.
- 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_69c6888b5248819090499a884ee3ec39 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e9b045c48190b27b2d6f7c11026f |
completed | March 27, 2026, 8:33 p.m. |
| PD | Predicate disambiguation | batch_69c6e74fb0f48190b2ad4dd4efdd241a |
completed | March 27, 2026, 8:23 p.m. |
Created at: March 27, 2026, 2:50 p.m.