Triple
T18676877
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Tackle |
E456622
|
entity |
| Predicate | yardsShortOfEndZone |
P132256
|
FINISHED |
| Object | 1 yard |
—
|
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: 1 yard | Statement: [The Tackle, yardsShortOfEndZone, 1 yard]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yardsShortOfEndZone Context triple: [The Tackle, yardsShortOfEndZone, 1 yard]
-
A.
hasEndZoneDesign
Indicates that an entity possesses a specific design or pattern applied to the end zone area of a playing field.
-
B.
ledLeagueInYardsFromScrimmage
Indicates that the subject achieved the highest total yards gained from scrimmage in the league for a given season or period.
-
C.
touchdownPoints
Indicates the number of points awarded to a team for successfully scoring a touchdown in a game.
-
D.
hasEndZoneSeating
Indicates that seating is available in the end zone area of a sports venue.
-
E.
gameWinningFieldGoalDistance
Indicates the distance from which a decisive, game-winning field goal was successfully kicked.
- 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_69d8d38f72b4819090a935175d9ca8af |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e556b66680819082a268f1bf857db5 |
completed | April 19, 2026, 10:27 p.m. |
| PD | Predicate disambiguation | batch_69e478db7a248190a8c6584673773923 |
completed | April 19, 2026, 6:40 a.m. |
| PDg | Predicate description generation | batch_69e484133ee48190a80f1889d79f34c9 |
completed | April 19, 2026, 7:28 a.m. |
Created at: April 10, 2026, 11:48 a.m.