Triple
T15522159
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | XXZ spin chain |
E368993
|
entity |
| Predicate | hasParameterRegime |
P55826
|
FINISHED |
| Object | easy-plane regime |Δ| < 1 |
—
|
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: easy-plane regime |Δ| < 1 | Statement: [XXZ spin chain, hasParameterRegime, easy-plane regime |Δ| < 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasParameterRegime Context triple: [XXZ spin chain, hasParameterRegime, easy-plane regime |Δ| < 1]
-
A.
hasParameterization
Indicates that one entity serves as the specific parameterization or parameter-setting scheme used to define or configure another entity.
-
B.
hasParameter
Indicates that an entity is associated with a specific parameter that defines or constrains some aspect of its behavior, configuration, or characteristics.
-
C.
occursInRegime
chosen
Indicates that an event, process, or phenomenon takes place within a specific regime, context, or operating condition.
-
D.
hasKinematicRegime
Indicates that an entity is associated with, or operates within, a particular kinematic regime or motion behavior.
-
E.
hasDimensionParameter
Indicates that an entity is associated with a specific dimensional parameter (such as size, length, width, or height) that characterizes its measurable extent.
- 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_69e0403543188190abac49d2b9decb89 |
completed | April 16, 2026, 1:49 a.m. |
| PD | Predicate disambiguation | batch_69ded28ab0588190a47a9090d1238707 |
completed | April 14, 2026, 11:49 p.m. |
Created at: April 10, 2026, 4:04 a.m.