Triple
T9937961
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Møller scattering |
E194002
|
entity |
| Predicate | hasRadiativeCorrections |
P91254
|
FINISHED |
| Object | loop-level QED corrections |
—
|
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: loop-level QED corrections | Statement: [Møller scattering, hasRadiativeCorrections, loop-level QED corrections]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRadiativeCorrections Context triple: [Møller scattering, hasRadiativeCorrections, loop-level QED corrections]
-
A.
includesCorrectionsFor
Indicates that one item contains modifications, fixes, or amendments that address errors or issues present in another item.
-
B.
requiresCorrection
Indicates that something is identified as needing modification, adjustment, or fixing to correct an error or deficiency.
-
C.
hasBranchingRatioToLeptons
Indicates the proportion of a particle’s decays that result in leptons among all its possible decay channels.
-
D.
hasBranchingRatioToHadrons
Indicates the fraction of a particle’s decays that result in hadronic final states (i.e., decays into hadrons).
-
E.
aberrationCorrection
Indicates the application or presence of a process that corrects optical or imaging aberrations in a system or setup.
- 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_69ca82e409348190a393777356b80a2a |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb5e64760819094f599f158d32f33 |
completed | April 2, 2026, 12:18 a.m. |
| PD | Predicate disambiguation | batch_69cd1d9428cc81909b4b4938566d78a7 |
completed | April 1, 2026, 1:28 p.m. |
| PDg | Predicate description generation | batch_69cd358386f48190833c862b5b8c04b2 |
completed | April 1, 2026, 3:10 p.m. |
Created at: March 30, 2026, 8:44 p.m.