Triple
T17752796
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wigner-Seitz radius r_s |
E443152
|
entity |
| Predicate | usedToParameterize |
P35898
|
FINISHED |
| Object | exchange-correlation functionals in density functional theory |
—
|
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: exchange-correlation functionals in density functional theory | Statement: [Wigner-Seitz radius r_s, usedToParameterize, exchange-correlation functionals in density functional theory]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedToParameterize Context triple: [Wigner-Seitz radius r_s, usedToParameterize, exchange-correlation functionals in density functional theory]
-
A.
usedToInfer
Indicates that one entity serves as a basis or source from which another entity is logically derived or concluded.
-
B.
usedToMark
Indicates that one entity serves as a marker, label, or indicator for another entity.
-
C.
usedToModel
chosen
Indicates that one entity serves as a model or representation for another entity, typically for purposes of analysis, simulation, or understanding.
-
D.
usedToSelect
Indicates that one entity serves as a criterion, tool, or basis for choosing or determining another entity.
-
E.
usedFor
Indicates that one entity serves a purpose, function, or role in accomplishing, enabling, or supporting another entity or activity.
- 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_69d8b9edf16c8190a59ebd245d378f4f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4841c0540819093a32d759775c61f |
completed | April 19, 2026, 7:28 a.m. |
| PD | Predicate disambiguation | batch_69e3cde9dc288190af0e2198487f2051 |
completed | April 18, 2026, 6:31 p.m. |
Created at: April 10, 2026, 10:10 a.m.