Triple
T25364747
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aqueous |
E636068
|
entity |
| Predicate | colorBehavior |
P159114
|
FINISHED |
| Object | colors change in response to footsteps |
—
|
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: colors change in response to footsteps | Statement: [Aqueous, colorBehavior, colors change in response to footsteps]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: colorBehavior Context triple: [Aqueous, colorBehavior, colors change in response to footsteps]
-
A.
colorTreatment
Indicates that an entity has undergone a process or action that changes, enhances, or assigns its color.
-
B.
colorUse
Indicates that one entity uses, applies, or is associated with a particular color in its appearance, design, or representation.
-
C.
colorInfluence
Indicates how the presence or use of one color affects the perception, appearance, or impact of another.
-
D.
colorDependsOn
Indicates that the color of one entity is determined or influenced by the color or properties of another entity.
-
E.
colorDisplay
Indicates that one entity presents, shows, or renders the color associated with another entity.
- 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_69e75a9b7cf481909f2dcdfb37d95ca7 |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f4a10ce1a8819081abc0012ddfaee7 |
completed | May 1, 2026, 12:48 p.m. |
| PD | Predicate disambiguation | batch_69f49377411c8190b2188de444d76795 |
completed | May 1, 2026, 11:50 a.m. |
| PDg | Predicate description generation | batch_69f497b8abb88190bb672cf6907c4b8d |
completed | May 1, 2026, 12:08 p.m. |
Created at: April 21, 2026, 1:36 p.m.