Triple
T15515319
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Born series |
E368819
|
entity |
| Predicate | eachTermRepresents |
P2920
|
FINISHED |
| Object | successive interaction with the scattering potential |
—
|
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: successive interaction with the scattering potential | Statement: [Born series, eachTermRepresents, successive interaction with the scattering potential]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: eachTermRepresents Context triple: [Born series, eachTermRepresents, successive interaction with the scattering potential]
-
A.
hasTerm
chosen
Indicates that an entity includes, is associated with, or is defined by a specific term or condition.
-
B.
areRepresentedBy
Indicates that one entity serves as a representation, proxy, or stand-in for another entity.
-
C.
typicalTerm
Indicates that something is a standard, representative, or characteristic term typically associated with a given concept or context.
-
D.
hasNumberOfTerms
Indicates the quantity of distinct terms or elements associated with a given entity or expression.
-
E.
isRepresentiveOf
Indicates that one entity serves as an official agent, spokesperson, or proxy acting on behalf 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_69d85a1794cc8190b0b428716296e63e |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e04031e62c8190953b61207142af15 |
completed | April 16, 2026, 1:49 a.m. |
| PD | Predicate disambiguation | batch_69ded2896a9c8190a8b9627deb3c17b4 |
completed | April 14, 2026, 11:49 p.m. |
Created at: April 10, 2026, 4:02 a.m.