Triple
T3641324
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bifrost |
E77192
|
entity |
| Predicate | visualAnalogy |
P3882
|
FINISHED |
| Object | rainbow in the sky |
—
|
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: rainbow in the sky | Statement: [Bifrost, visualAnalogy, rainbow in the sky]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: visualAnalogy Context triple: [Bifrost, visualAnalogy, rainbow in the sky]
-
A.
viewOnAnalogy
Indicates a relationship where one entity interprets, understands, or evaluates another entity by drawing an analogy to something else.
-
B.
visualElements
Indicates that one entity contains, uses, or is characterized by specific visual components or graphical features associated with another entity.
-
C.
usedAsAnalogFor
chosen
Indicates that one entity is employed as a comparison or illustrative counterpart to help explain, represent, or understand another entity.
-
D.
primaryMetaphor
Indicates a fundamental conceptual mapping where one domain (often concrete or physical) is systematically understood in terms of another (often abstract), forming a basic metaphorical relationship between them.
-
E.
evokesImageOf
Indicates that one entity triggers or brings to mind a mental image or visual representation of another entity.
- 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_69ad85de1b988190a45f8dbfebc806fc |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc357c3308190bd8801d68244a53e |
completed | March 8, 2026, 6:43 p.m. |
| PD | Predicate disambiguation | batch_69adb8445b2c8190ab07f6ad4e010d0e |
completed | March 8, 2026, 5:56 p.m. |
Created at: March 8, 2026, 3:24 p.m.