Triple
T10286632
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Winkie Country |
E241243
|
entity |
| Predicate | hasDirectionColorAssociation |
P75158
|
FINISHED |
| Object | west–yellow |
—
|
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: west–yellow | Statement: [Winkie Country, hasDirectionColorAssociation, west–yellow]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDirectionColorAssociation Context triple: [Winkie Country, hasDirectionColorAssociation, west–yellow]
-
A.
hasDirectionType
Indicates that something possesses or is associated with a specific type or category of direction.
-
B.
hasDirectionLabels
chosen
Indicates that a subject is associated with one or more labels specifying directions or orientations.
-
C.
hasDirectionScheme
Indicates that an entity is associated with or governed by a particular scheme or system for defining directions.
-
D.
hasDirectionVariant
Indicates that one entity is a directional variant or orientation-specific form of another entity.
-
E.
hasRouteColorStandard
Indicates that a route is associated with a standardized color designation used for identification or classification.
- 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_69d381aaafc08190af475ef58dc16aba |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d7ccb7ec8190a538cf279e48116e |
completed | April 7, 2026, 10:09 a.m. |
| PD | Predicate disambiguation | batch_69d4d1f117708190928f92ae2611d724 |
completed | April 7, 2026, 9:44 a.m. |
Created at: April 6, 2026, 11:40 a.m.