Triple
T18426555
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | XY model |
E450153
|
entity |
| Predicate | hasTopologicalExcitations |
P131557
|
FINISHED |
| Object | vortices |
—
|
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: vortices | Statement: [XY model, hasTopologicalExcitations, vortices]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTopologicalExcitations Context triple: [XY model, hasTopologicalExcitations, vortices]
-
A.
topologicalCharge
Indicates that an entity possesses a specific topological invariant (topological charge) characterizing its global, deformation-resistant configuration or defect structure.
-
B.
hasExcitedBoundStates
Indicates that the entity possesses bound states at higher energy levels than its ground state.
-
C.
isTopological
Indicates that something possesses the properties or structure required to be considered a topology in the relevant mathematical or spatial context.
-
D.
topologically
Indicates a relationship or property considered in terms of the continuity, connectivity, or shape-preserving structure of spaces, rather than their exact geometric measurements.
-
E.
hasDomainOfDiscontinuity
Indicates that a function or mapping possesses a specific region in its domain where it is not continuous.
- 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_69d8d381d6388190a9e94e9c658174e4 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e51b13ee88819091e7e007d17dcc73 |
completed | April 19, 2026, 6:12 p.m. |
| PD | Predicate disambiguation | batch_69e469bf7f74819096a01173493412c2 |
completed | April 19, 2026, 5:35 a.m. |
| PDg | Predicate description generation | batch_69e46d2aa72c8190a40854a7a52081e2 |
completed | April 19, 2026, 5:50 a.m. |
Created at: April 10, 2026, 11:24 a.m.