Triple
T13268068
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Russell E. Diethrick Jr. Park |
E315975
|
entity |
| Predicate | isSeatingType |
P2608
|
FINISHED |
| Object | bleacher 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: bleacher seating | Statement: [Russell E. Diethrick Jr. Park, isSeatingType, bleacher seating]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isSeatingType Context triple: [Russell E. Diethrick Jr. Park, isSeatingType, bleacher seating]
-
A.
hasSeating
chosen
Indicates that one entity provides or contains seating capacity or seating arrangements for another entity.
-
B.
seatIs
Indicates that one entity functions as the seat or seating position of another entity.
-
C.
hasSeat
Indicates that one entity possesses, provides, or includes a seat for another entity.
-
D.
canSitIn
Indicates that one entity is able or permitted to sit inside or occupy the seating space of another entity.
-
E.
hadSeatType
Indicates that an entity was assigned or associated with a specific type or category of seat.
- 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_69d806b1d9ac8190852c5571d5bd5f0f |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99cfdc9388190af1fdd3cd4717bd8 |
completed | April 11, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69d98f60911081909fa346a054f76c9f |
completed | April 11, 2026, 12:01 a.m. |
Created at: April 9, 2026, 9:25 p.m.