Triple
T16492903
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Composite fermion |
E400608
|
entity |
| Predicate | effectiveDescriptionOf |
P30104
|
FINISHED |
| Object | Strongly correlated electrons in high magnetic fields |
—
|
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: Strongly correlated electrons in high magnetic fields | Statement: [Composite fermion, effectiveDescriptionOf, Strongly correlated electrons in high magnetic fields]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: effectiveDescriptionOf Context triple: [Composite fermion, effectiveDescriptionOf, Strongly correlated electrons in high magnetic fields]
-
A.
describedIn
Indicates that information about an entity is contained or documented within a specified source, such as a text, document, or media.
-
B.
effectiveRole
Indicates the functional role or capacity an entity actually performs or holds in a given context, regardless of its formal or nominal designation.
-
C.
isDescriptive
chosen
Indicates that one entity provides a description or characterization of another entity.
-
D.
conditionsDescribedAs
Indicates that one entity is described or characterized in terms of certain conditions specified by another entity.
-
E.
alternateDescription
Indicates that an entity has an additional or substitute textual description that can be used in place of its primary description.
- 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_69d883813098819084f5409539723b59 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32e30cb648190a52cb32896c4ac5a |
completed | April 18, 2026, 7:09 a.m. |
| PD | Predicate disambiguation | batch_69e296902d6c8190884ddb612b8c5b36 |
completed | April 17, 2026, 8:22 p.m. |
Created at: April 10, 2026, 5:13 a.m.