Triple
T291038
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lumen Field |
E5992
|
entity |
| Predicate | seatingCapacityNFL |
P2491
|
FINISHED |
| Object | about 68,000 |
—
|
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: about 68,000 | Statement: [Lumen Field, seatingCapacityNFL, about 68,000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seatingCapacityNFL Context triple: [Lumen Field, seatingCapacityNFL, about 68,000]
-
A.
homeStadiumCapacity
Indicates the seating capacity of the stadium that serves as a team's or organization's home venue.
-
B.
seatingCapacity
chosen
Indicates the maximum number of people that something (typically a venue or vehicle) is designed or allowed to seat.
-
C.
homeArenaCapacity
Indicates the maximum number of spectators that can be accommodated in an entity’s home arena.
-
D.
usesSalaryCap
Indicates that an entity applies or operates under a salary cap constraint when managing compensation or payroll.
-
E.
SuperBowlAppearances
Indicates the number of times an entity has participated in a Super Bowl 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_69a25946a7ac8190a78871c210213272 |
completed | Feb. 28, 2026, 2:56 a.m. |
| NER | Named-entity recognition | batch_69a25e4f78bc81909a64fd6aaec3b504 |
completed | Feb. 28, 2026, 3:17 a.m. |
| PD | Predicate disambiguation | batch_69a25b7d089081909810442c3d0182f6 |
completed | Feb. 28, 2026, 3:05 a.m. |
Created at: Feb. 28, 2026, 3:02 a.m.