Triple
T11815897
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Victorian Football League |
E280998
|
entity |
| Predicate | usesGroundType |
P44510
|
FINISHED |
| Object | oval grounds |
—
|
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: oval grounds | Statement: [Victorian Football League, usesGroundType, oval grounds]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesGroundType Context triple: [Victorian Football League, usesGroundType, oval grounds]
-
A.
usesGroundSystem
Indicates that one entity operates, relies on, or interacts with a particular ground-based system to perform its functions or services.
-
B.
homeGroundType
chosen
Indicates the type or category of venue that serves as an entity’s designated home ground.
-
C.
hasGroundPressure
Indicates that an entity exerts a specific amount of pressure on the ground or surface it is in contact with.
-
D.
isGroundedIn
Indicates that something is based on, supported by, or justified through a particular source, foundation, or set of principles.
-
E.
usesOnLand
Indicates that one entity employs or operates another entity specifically in a land-based context.
- 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_69d6ab26aae88190b2489efcb2a24234 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a658f918819092c2db05fe2ab0ce |
completed | April 10, 2026, 7:27 a.m. |
| PD | Predicate disambiguation | batch_69d8a24e9a088190aff7932d1ff93dbf |
completed | April 10, 2026, 7:10 a.m. |
Created at: April 8, 2026, 9:42 p.m.