Triple
T29710250
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | France vs Australia |
E751758
|
entity |
| Predicate | usedVAR |
P50849
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [France vs Australia, usedVAR, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedVAR Context triple: [France vs Australia, usedVAR, true]
-
A.
usesVAR
chosen
Indicates that one entity makes use of, employs, or utilizes another entity as a variable or resource in performing some function or operation.
-
B.
variant
Indicates that one entity is an alternative form, version, or variation of another entity.
-
C.
usedInVariant
Indicates that something (such as a component, feature, or element) is utilized or included within a particular variant or version of a larger entity.
-
D.
usedVia
Indicates that an entity performs or achieves something by means of, or through the use of, another entity or mechanism.
-
E.
usedFor
Indicates that one entity serves a purpose, function, or role in accomplishing, enabling, or supporting another entity or activity.
- 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_69f0d62748848190b030d0a703629a7d |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f672d8463481909f9144dbfa8be162 |
completed | May 2, 2026, 9:55 p.m. |
| PD | Predicate disambiguation | batch_69f6659f246081909821c5f452d14e8f |
completed | May 2, 2026, 8:59 p.m. |
Created at: April 28, 2026, 7:30 p.m.