Triple
T30490946
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gialloblu |
E775860
|
entity |
| Predicate | componentColorTerm1 |
P65192
|
FINISHED |
| Object | giallo |
—
|
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: giallo | Statement: [Gialloblu, componentColorTerm1, giallo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: componentColorTerm1 Context triple: [Gialloblu, componentColorTerm1, giallo]
-
A.
colorComponent
chosen
Indicates that one entity is a component or constituent part of the overall color of another entity.
-
B.
componentTerm
Indicates that one term functions as a component or constituent part of another term within a larger conceptual or structural whole.
-
C.
associatedColour
Indicates that one entity is linked to another as its characteristic or representative colour.
-
D.
colors
Indicates that one entity assigns, describes, or provides the color or colors of another entity.
-
E.
colorIndicates
Indicates that a particular color serves as a sign, marker, or signal conveying specific information or status about something.
- 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_69f22497f91c8190afa7165bc900accd |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f7b0e5744c8190a22c1e1d6fcfa466 |
completed | May 3, 2026, 8:32 p.m. |
| PD | Predicate disambiguation | batch_69f7ab70d034819080295628497d8582 |
completed | May 3, 2026, 8:09 p.m. |
Created at: April 29, 2026, 8:13 p.m.