Triple
T38483092
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Block M |
E917836
|
entity |
| Predicate | notableColorName |
P68786
|
FINISHED |
| Object | Michigan maize |
—
|
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: Michigan maize | Statement: [Block M, notableColorName, Michigan maize]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableColorName Context triple: [Block M, notableColorName, Michigan maize]
-
A.
notableColor
Indicates that an entity is characteristically or prominently associated with a particular color.
-
B.
colorDesignationInName
chosen
Indicates that a color term is explicitly included as part of an entity’s name or title.
-
C.
notableOwnerColor
Indicates that an owner is notably associated with a particular color, such as through branding, attire, or symbolic representation.
-
D.
notableModelWithColorDisplay
Indicates that an entity is a notable or exemplary instance of a model that features a color display.
-
E.
colors
Indicates that one entity assigns, describes, or provides the color or colors of 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_69f76e9894208190a129a553a60ca58c |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a037c903be48190a2fafa53d7d50d42 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a1e32108190897356d6a7fed879 |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:31 p.m.