Triple
T20190423
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Varia Suit |
E492965
|
entity |
| Predicate | colorChangeTo |
P44865
|
FINISHED |
| Object | Orange primary armor |
—
|
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: Orange primary armor | Statement: [Varia Suit, colorChangeTo, Orange primary armor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: colorChangeTo Context triple: [Varia Suit, colorChangeTo, Orange primary armor]
-
A.
typicalColorChange
chosen
Indicates a characteristic or commonly observed change in color that an entity undergoes under normal or expected conditions.
-
B.
themeChange
Indicates that an entity undergoes a change in its theme, style, or subject, typically transitioning from one thematic state or configuration to another.
-
C.
colorTincture
Indicates that one entity has a specific heraldic color or tincture applied to it.
-
D.
renamedToColor
Indicates that an entity has been renamed such that its new name corresponds to or is based on a color.
-
E.
pasteColor
Indicates that one entity applies or transfers a color from a source to a target, effectively pasting that color onto the target.
- 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_69da6268a034819081cbd9ea5a1c9475 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66ad4d7a88190b70dfb74a2daafba |
completed | April 20, 2026, 6:05 p.m. |
| PD | Predicate disambiguation | batch_69e55b11124c8190babacf2a0fe2d057 |
completed | April 19, 2026, 10:45 p.m. |
Created at: April 11, 2026, 11:37 p.m.