Triple
T209740
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Newtonian optics |
E4687
|
entity |
| Predicate | keyExperiment |
P9912
|
FINISHED |
| Object | prism decomposition of white light |
—
|
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: prism decomposition of white light | Statement: [Newtonian optics, keyExperiment, prism decomposition of white light]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: keyExperiment Context triple: [Newtonian optics, keyExperiment, prism decomposition of white light]
-
A.
key
Indicates that one entity functions as a key (literal or metaphorical) that unlocks, enables access to, or provides a crucial solution or control over another entity.
-
B.
keyComponent
Indicates that one entity is an essential or foundational part required for the proper function, structure, or identity of another entity.
-
C.
keyFeature
Indicates that something is a primary, distinguishing, or most important feature of an entity.
-
D.
keyIndex
Indicates the position or numerical index assigned to a specific key within an ordered set or collection of keys.
-
E.
keyReuse
Indicates that the same key is used multiple times, rather than being uniquely generated or dedicated for a single use or context.
- 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_69a25737567c81908f9c505300239181 |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25e8b9b908190b69a3f0594b95f7e |
completed | Feb. 28, 2026, 3:18 a.m. |
| PD | Predicate disambiguation | batch_69a25b4e3c2881908d83e8218aa9f2d9 |
completed | Feb. 28, 2026, 3:04 a.m. |
| PDg | Predicate description generation | batch_69a25e8ade9481908d5570f6a255ee50 |
completed | Feb. 28, 2026, 3:18 a.m. |
Created at: Feb. 28, 2026, 2:51 a.m.