Triple
T16432250
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jahn–Teller effect |
E399095
|
entity |
| Predicate | dynamicVariantInvolves |
P13845
|
FINISHED |
| Object | rapid interconversion between equivalent distorted structures |
—
|
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: rapid interconversion between equivalent distorted structures | Statement: [Jahn–Teller effect, dynamicVariantInvolves, rapid interconversion between equivalent distorted structures]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dynamicVariantInvolves Context triple: [Jahn–Teller effect, dynamicVariantInvolves, rapid interconversion between equivalent distorted structures]
-
A.
affectsVariant
Indicates that one entity has an influence or impact on a specific variant or version of another entity.
-
B.
variant
Indicates that one entity is an alternative form, version, or variation of another entity.
-
C.
governsVariant
Indicates a regulatory relationship where one entity controls, influences, or determines the behavior or state of a specific variant of another entity.
-
D.
rulesVariantOf
Indicates that one set of rules is a modified or alternative version derived from another set of rules.
-
E.
hasVariability
chosen
Indicates that an entity exhibits variation or fluctuation in its state, value, or characteristics over time or across instances.
- 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_69d87f2b9024819085c20e52de95d583 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32b9f2e8c81909c60b8fb78255e5f |
completed | April 18, 2026, 6:58 a.m. |
| PD | Predicate disambiguation | batch_69e22701d2288190bf8676050758f172 |
completed | April 17, 2026, 12:26 p.m. |
Created at: April 10, 2026, 5:10 a.m.