Triple
T6582185
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Several Circles |
E157322
|
entity |
| Predicate | dominantMotif |
P2366
|
FINISHED |
| Object | circles |
—
|
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: circles | Statement: [Several Circles, dominantMotif, circles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dominantMotif Context triple: [Several Circles, dominantMotif, circles]
-
A.
primaryMotif
chosen
Indicates that one entity serves as the main recurring theme or dominant motif associated with another entity.
-
B.
featuresMotif
Indicates that something contains, incorporates, or prominently includes a particular recurring motif or pattern.
-
C.
dominantComposition
Indicates that one entity is the primary or prevailing component, material, or element that makes up or characterizes another entity.
-
D.
usesMotifsFrom
Indicates that one entity incorporates or draws upon recurring themes, patterns, or elements that originate from another entity.
-
E.
dominantCluster
Indicates that one cluster in a set is the most influential or representative group relative to the others, often based on size, centrality, or impact.
- 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_69c6882b3a108190b3a9eb343ae4162c |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6c07cdf048190945ca5810fb1de88 |
completed | March 27, 2026, 5:38 p.m. |
| PD | Predicate disambiguation | batch_69c6acfb462481909cb7aff5af4bca9d |
completed | March 27, 2026, 4:14 p.m. |
Created at: March 27, 2026, 1:54 p.m.