Triple
T18426561
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | XY model |
E450153
|
entity |
| Predicate | transitionTypeIn2D |
P36477
|
FINISHED |
| Object | topological phase transition |
—
|
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: topological phase transition | Statement: [XY model, transitionTypeIn2D, topological phase transition]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: transitionTypeIn2D Context triple: [XY model, transitionTypeIn2D, topological phase transition]
-
A.
movementTransition
Indicates a change in an entity’s state of motion, such as starting, stopping, or altering the direction or mode of movement.
-
B.
transitionTo
chosen
Indicates a change in state, condition, or phase from one defined status to another.
-
C.
formsTransitionBetween
Indicates that one state, phase, or condition serves as an intermediate link or bridge leading from one distinct state, phase, or condition to another.
-
D.
transitionCharacteristic
Indicates a relationship where an entity is characterized by how it changes state or condition over time or between phases.
-
E.
secondLineTransition
Indicates a transition or change that occurs specifically in the second line of a sequence, text, or structured representation.
- 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_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. |
Created at: April 10, 2026, 11:24 a.m.