Triple
T5143640
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Federation Standard |
E116017
|
entity |
| Predicate | typicalScriptColorOnScreens |
P42964
|
FINISHED |
| Object | white |
—
|
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: white | Statement: [Federation Standard, typicalScriptColorOnScreens, white]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalScriptColorOnScreens Context triple: [Federation Standard, typicalScriptColorOnScreens, white]
-
A.
colors
Indicates that one entity assigns, describes, or provides the color or colors of another entity.
-
B.
colorDisplay
chosen
Indicates that one entity presents, shows, or renders the color associated with another entity.
-
C.
hairColorOnScreen
Indicates the hair color that an entity appears to have when shown or rendered on a screen.
-
D.
typicalColorDescription
Indicates the usual or characteristic color associated with an entity.
-
E.
maxColorsOnScreen
Indicates the maximum number of distinct colors that can be displayed on the screen at the same time.
- 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_69bd4446c0e08190a7c29dc74976bf03 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd78d7f4d081908d59adcd86f52f1d |
completed | March 20, 2026, 4:42 p.m. |
| PD | Predicate disambiguation | batch_69bd77ae2f10819098bb8939106e1281 |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:43 p.m.