Triple
T28177218
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ao Building |
E715925
|
entity |
| Predicate | colorNameDerivedFrom |
P53192
|
FINISHED |
| Object | Japanese word "ao" meaning blue/green |
—
|
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: Japanese word "ao" meaning blue/green | Statement: [Ao Building, colorNameDerivedFrom, Japanese word "ao" meaning blue/green]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: colorNameDerivedFrom Context triple: [Ao Building, colorNameDerivedFrom, Japanese word "ao" meaning blue/green]
-
A.
colorDesignationInName
Indicates that a color term is explicitly included as part of an entity’s name or title.
-
B.
codenameColor
Indicates that an entity’s codename is associated with or represented by a specific color.
-
C.
colorOrigin
chosen
Indicates the source or cause from which an entity’s color is derived or determined.
-
D.
colorDependsOn
Indicates that the color of one entity is determined or influenced by the color or properties of another entity.
-
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_69efd6b4fc5c81909dd88f01a8c2b35d |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69f68f670b608190a0b6ab60d722b4e0 |
completed | May 2, 2026, 11:57 p.m. |
| PD | Predicate disambiguation | batch_69f68b78f29481908cc8f390496dee97 |
completed | May 2, 2026, 11:40 p.m. |
Created at: April 27, 2026, 10:17 p.m.