Triple
T2327581
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toyota Stadium |
E48323
|
entity |
| Predicate | hasStands |
P6313
|
FINISHED |
| Object | four-sided seating bowl |
—
|
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: four-sided seating bowl | Statement: [Toyota Stadium, hasStands, four-sided seating bowl]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStands Context triple: [Toyota Stadium, hasStands, four-sided seating bowl]
-
A.
hasStandsType
Indicates that an entity has or is associated with a particular type or category of stands (e.g., display stands, support stands, or similar structures).
-
B.
hasStand
chosen
Indicates that an entity possesses, is equipped with, or is supported by a stand or base structure.
-
C.
hasStandsOn
Indicates that one entity is physically supported by and in contact with the upper surface of another entity.
-
D.
isFreeStanding
Indicates that an object or structure stands independently without needing external support or attachment.
-
E.
isStandingBody
Indicates that a body or entity is in an upright, standing posture rather than sitting, lying, or moving.
- 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_69a88aa308a88190b0b86c011fda7fce |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abcc30c5e881908c5d526d7e7491d0 |
completed | March 7, 2026, 6:56 a.m. |
| PD | Predicate disambiguation | batch_69abc5926d048190a535e3f23d41de2a |
completed | March 7, 2026, 6:28 a.m. |
Created at: March 4, 2026, 7:50 p.m.