Triple
T14170124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Volunteer Stadium |
E351182
|
entity |
| Predicate | hasOutfieldBermSeating |
P51846
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Volunteer Stadium, hasOutfieldBermSeating, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOutfieldBermSeating Context triple: [Volunteer Stadium, hasOutfieldBermSeating, yes]
-
A.
hasBermSeating
chosen
Indicates that a venue or location includes berm-style seating areas, typically grass-covered embankments where spectators can sit.
-
B.
hasBleacherSeating
Indicates that a venue or location is equipped with bleacher-style seating for spectators.
-
C.
hasEndZoneSeating
Indicates that seating is available in the end zone area of a sports venue.
-
D.
hasGrassSeatingArea
Indicates that an entity includes or provides a seating area located on a grass surface.
-
E.
outdoorSeating
Indicates that an establishment provides seating arrangements located outside the main indoor area.
- 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_69d8278834a08190b0f1784e58d7b99c |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61b472288190b4a271daa54aa6cd |
completed | April 14, 2026, 3:48 p.m. |
| PD | Predicate disambiguation | batch_69de05b8434c81908c33b1b513463b12 |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 10, 2026, 1:01 a.m.