Triple
T19900366
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | L&N Federal Credit Union Stadium |
E478267
|
entity |
| Predicate | hasEndZoneExpansion |
P137751
|
FINISHED |
| Object | north end zone |
—
|
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: north end zone | Statement: [L&N Federal Credit Union Stadium, hasEndZoneExpansion, north end zone]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEndZoneExpansion Context triple: [L&N Federal Credit Union Stadium, hasEndZoneExpansion, north end zone]
-
A.
hasEndZoneDesign
Indicates that an entity possesses a specific design or pattern applied to the end zone area of a playing field.
-
B.
hasEndZonesColor
Indicates that the specified color is the one used for the end zones associated with an entity.
-
C.
hasEndZoneSeating
Indicates that seating is available in the end zone area of a sports venue.
-
D.
yardsShortOfEndZone
Indicates the number of yards separating a team or ball’s current field position from the opponent’s end zone.
-
E.
hasFieldGoalPosts
Indicates that one entity possesses or is equipped with field goal posts, typically as part of a sports playing area.
- 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_69d8e520682081909892916424699bd5 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65940cf8c8190b74e51635410e48a |
completed | April 20, 2026, 4:50 p.m. |
| PD | Predicate disambiguation | batch_69e537ecda248190895c96afb6243823 |
completed | April 19, 2026, 8:15 p.m. |
| PDg | Predicate description generation | batch_69e543c136b081909cab9394b958390a |
completed | April 19, 2026, 9:06 p.m. |
Created at: April 10, 2026, 1:52 p.m.