Triple
T18172677
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wales Rally GB |
E435070
|
entity |
| Predicate | notableSurfaceCharacteristic |
P47694
|
FINISHED |
| Object | often wet and muddy conditions |
—
|
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: often wet and muddy conditions | Statement: [Wales Rally GB, notableSurfaceCharacteristic, often wet and muddy conditions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableSurfaceCharacteristic Context triple: [Wales Rally GB, notableSurfaceCharacteristic, often wet and muddy conditions]
-
A.
notableSurface
Indicates that one entity is a surface or exterior of particular significance or prominence in relation to another entity.
-
B.
notableFeatureOn
Indicates that one entity is a prominent or distinguishing feature located on or part of another entity.
-
C.
notableCollectionCharacteristic
Indicates that a collection is distinguished by a particular defining feature or quality that makes it notable.
-
D.
spanCharacteristic
Indicates that one entity has a particular measurable or descriptive property that characterizes the extent, duration, or range of another entity or phenomenon.
-
E.
surfaceFeatureOf
chosen
Indicates that one entity is a surface-level characteristic, pattern, or feature belonging to or present on another entity.
- 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_69d8b90b7a188190b3fc7b8d4a6cd20a |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4df56d0a88190af3f407d2a3bb74f |
completed | April 19, 2026, 1:57 p.m. |
| PD | Predicate disambiguation | batch_69e4331baeb88190b21f50a98c36c78e |
completed | April 19, 2026, 1:42 a.m. |
Created at: April 10, 2026, 10:30 a.m.