Triple
T3350148
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grand Prix des Nations |
E70470
|
entity |
| Predicate | unofficialStatus |
P4154
|
FINISHED |
| Object | unofficial world championship |
—
|
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: unofficial world championship | Statement: [Grand Prix des Nations, unofficialStatus, unofficial world championship]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: unofficialStatus Context triple: [Grand Prix des Nations, unofficialStatus, unofficial world championship]
-
A.
deFactoStatus
Indicates that one entity holds a role, position, or status in practice or by custom, even if it is not formally or legally recognized.
-
B.
status
Indicates the current condition, state, or standing of an entity within a given context.
-
C.
coOfficialStatusIn
Indicates that two or more entities share the same official status within a specified context, such as a jurisdiction, organization, or system.
-
D.
hasInformalStatus
chosen
Indicates that an entity holds a non-official, casual, or unofficial standing or role in relation to another entity.
-
E.
notOfficialNameOf
Indicates that a given name or label is used for an entity but is not its official or formally recognized name.
- 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_69ad85a4ef7c8190a29e2bbd6fa454e4 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb21f3ae48190a33530712da01bc3 |
completed | March 8, 2026, 5:30 p.m. |
| PD | Predicate disambiguation | batch_69ada42df1d48190874bb05f95deefde |
completed | March 8, 2026, 4:30 p.m. |
Created at: March 8, 2026, 3:12 p.m.