Triple
T27623715
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pattu Pavadai |
E696144
|
entity |
| Predicate | colorPreference |
P169942
|
FINISHED |
| Object | red |
—
|
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: red | Statement: [Pattu Pavadai, colorPreference, red]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: colorPreference Context triple: [Pattu Pavadai, colorPreference, red]
-
A.
colorUse
Indicates that one entity uses, applies, or is associated with a particular color in its appearance, design, or representation.
-
B.
colors
Indicates that one entity assigns, describes, or provides the color or colors of another entity.
-
C.
colorInfluence
Indicates how the presence or use of one color affects the perception, appearance, or impact of another.
-
D.
colorCompatibility
Indicates whether the colors associated with the entities can be used together harmoniously or without conflict.
-
E.
shadeColor
Indicates that one entity has a specific shade or variation of color associated with it.
- F. None of above. chosen
Provenance (4 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_69ef59092c8881908114ad184248cc46 |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69f688d015908190ad5df37030ecf332 |
completed | May 2, 2026, 11:29 p.m. |
| PD | Predicate disambiguation | batch_69f68609c0b08190a8e1238a4d97c270 |
completed | May 2, 2026, 11:17 p.m. |
| PDg | Predicate description generation | batch_69f688034580819086a0f9100645f8ba |
completed | May 2, 2026, 11:25 p.m. |
Created at: April 27, 2026, 2:16 p.m.