Triple
T1501441
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monster Seats |
E33802
|
entity |
| Predicate | ballparkSectionType |
P25457
|
FINISHED |
| Object | outfield seating |
—
|
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: outfield seating | Statement: [Monster Seats, ballparkSectionType, outfield seating]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ballparkSectionType Context triple: [Monster Seats, ballparkSectionType, outfield seating]
-
A.
ballparkCharacteristic
chosen
Indicates a characteristic, feature, or attribute that is associated with a ballpark.
-
B.
ballpark
Indicates an approximate or rough estimation of a value, rather than an exact or precise figure.
-
C.
hasBallpark
Indicates that an entity possesses, is associated with, or includes a specific ballpark as part of its attributes or facilities.
-
D.
formerBallpark
Indicates that a location previously served as a ballpark but no longer functions in that role.
-
E.
homeBallparkOfChampion
Indicates that a particular ballpark serves as the home stadium for a championship-winning team or champion.
- 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_69a885f352a4819099b24ff15489dede |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a90584b8b881908e112c7e59163812 |
completed | March 5, 2026, 4:24 a.m. |
| PD | Predicate disambiguation | batch_69a88727ce48819089b482cdc25453d1 |
completed | March 4, 2026, 7:25 p.m. |
Created at: March 4, 2026, 7:24 p.m.