Triple
T1096018
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Drell–Yan processes |
E24272
|
entity |
| Predicate | theoryFramework |
P7760
|
FINISHED |
| Object | quantum chromodynamics |
—
|
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: quantum chromodynamics | Statement: [Drell–Yan processes, theoryFramework, quantum chromodynamics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: theoryFramework Context triple: [Drell–Yan processes, theoryFramework, quantum chromodynamics]
-
A.
frameworkFor
Indicates that one entity serves as a supporting structure, system, or basis that organizes, guides, or enables the development or functioning of another entity.
-
B.
appliesFramework
Indicates that one entity uses or implements a particular framework in relation to another entity or context.
-
C.
theorized
Indicates that one entity has proposed or developed a theoretical explanation or hypothesis about another entity or phenomenon.
-
D.
appliesTheory
chosen
Indicates that an entity uses or implements a particular theory in analyzing, explaining, or addressing something.
-
E.
theoreticalTradition
Indicates that one entity belongs to, is framed within, or is analyzed according to the theoretical tradition represented by the other 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_69a4940542308190ac2a0b1f730b7cfc |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4b99ffb3481908cd168b6c58e1c6d |
completed | March 1, 2026, 10:11 p.m. |
| PD | Predicate disambiguation | batch_69a4b7448c148190a3c9a4158ebd05b4 |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:42 p.m.