Triple
T2630582
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Migdal approximation |
E59621
|
entity |
| Predicate | simplifies |
P9925
|
FINISHED |
| Object | diagrammatic treatment of electron-phonon interactions |
—
|
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: diagrammatic treatment of electron-phonon interactions | Statement: [Migdal approximation, simplifies, diagrammatic treatment of electron-phonon interactions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: simplifies Context triple: [Migdal approximation, simplifies, diagrammatic treatment of electron-phonon interactions]
-
A.
reduces
chosen
Indicates that one entity causes a decrease in the amount, intensity, degree, or impact of another entity.
-
B.
simplificationPolicy
Indicates a relationship where one entity defines or applies rules for simplifying, reducing, or streamlining another entity, process, or representation.
-
C.
separates
Indicates that one entity divides, parts, or keeps other entities apart from each other.
-
D.
satisfies
Indicates that one entity meets, fulfills, or complies with the requirements, conditions, or expectations specified by another.
-
E.
summarizes
Indicates that one entity provides a concise representation or overview of the main points or content 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_69ab4ac8596c8190b34997e73d9e991c |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abdb0e7b888190bfa5d2e33f00ec0f |
completed | March 7, 2026, 8 a.m. |
| PD | Predicate disambiguation | batch_69abd810d7f481908e81c305772c4c14 |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:50 p.m.