Triple
T23932411
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kaya |
E602535
|
entity |
| Predicate | colorAlignment |
P88264
|
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: [Kaya, colorAlignment, white]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: colorAlignment Context triple: [Kaya, colorAlignment, white]
-
A.
alignmentTheme
Indicates that one entity serves as the central topic, focus, or thematic basis for the alignment or correspondence expressed by another entity.
-
B.
colorPlacement
chosen
Indicates the spatial or contextual position where a particular color is applied or appears in relation to an entity.
-
C.
themeAlignment
Indicates that one entity’s themes, motifs, or subject matter are conceptually consistent or in harmony with those of another entity.
-
D.
textAlignment
Indicates how text is positioned or aligned relative to a reference frame, such as margins, columns, or other layout boundaries.
-
E.
hasAlignment
Indicates that one entity shares or exhibits a particular orientation, stance, or compatibility in relation to another entity or standard.
- 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_69e2953cf6e081909b8e25a10a52dddc |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f1cf9ce6b8819093fc5e44b1ed137f |
completed | April 29, 2026, 9:30 a.m. |
| PD | Predicate disambiguation | batch_69f16151ebdc819086e9e1d7cc1f4f3c |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 8:58 p.m.